Triple
T17119888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Tancredo |
E415436
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object |
Dan Schaefer
Dan Schaefer was a Republican U.S. Representative from Colorado who served several terms in Congress during the late 20th century.
|
E1337713
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dan Schaefer | Statement: [Tom Tancredo, precededBy, Dan Schaefer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Schaefer Context triple: [Tom Tancredo, precededBy, Dan Schaefer]
-
A.
Dan Pfeiffer
Dan Pfeiffer is an American political strategist and former White House communications director who served as a senior adviser to President Barack Obama.
-
B.
Mike Schuler
Mike Schuler is an American basketball coach best known for his successful tenure as head coach of the Portland Trail Blazers in the late 1980s.
-
C.
Scott Scherr
Scott Scherr is an American entrepreneur best known as the founder and longtime CEO of the human capital management software company Ultimate Software.
-
D.
Jeffrey Kurtzman
Jeffrey Kurtzman is an American musicologist best known for his scholarship on Italian Renaissance and early Baroque music, particularly the works of Claudio Monteverdi.
-
E.
Tom Schaul
Tom Schaul is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Dueling DQN architecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dan Schaefer Triple: [Tom Tancredo, precededBy, Dan Schaefer]
Generated description
Dan Schaefer was a Republican U.S. Representative from Colorado who served several terms in Congress during the late 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Schaefer Target entity description: Dan Schaefer was a Republican U.S. Representative from Colorado who served several terms in Congress during the late 20th century.
-
A.
Dan Pfeiffer
Dan Pfeiffer is an American political strategist and former White House communications director who served as a senior adviser to President Barack Obama.
-
B.
Mike Schuler
Mike Schuler is an American basketball coach best known for his successful tenure as head coach of the Portland Trail Blazers in the late 1980s.
-
C.
Scott Scherr
Scott Scherr is an American entrepreneur best known as the founder and longtime CEO of the human capital management software company Ultimate Software.
-
D.
Jeffrey Kurtzman
Jeffrey Kurtzman is an American musicologist best known for his scholarship on Italian Renaissance and early Baroque music, particularly the works of Claudio Monteverdi.
-
E.
Tom Schaul
Tom Schaul is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Dueling DQN architecture.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8092b548190b45c1695be47edc2 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052334e9708190ba9900fb364023ef |
completed | May 14, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_6a0527049428819080f2cc75c5223fb7 |
completed | May 14, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a052765e8f88190b8db3cffb212002f |
completed | May 14, 2026, 1:37 a.m. |
Created at: April 10, 2026, 5:36 a.m.