Triple
T17435497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey Hunter |
E423991
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Temple Houston
Temple Houston is a 1960s American Western television series starring Jeffrey Hunter as a frontier lawyer in the Old West.
|
E1268674
|
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: Temple Houston | Statement: [Jeffrey Hunter, notableWork, Temple Houston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temple Houston Context triple: [Jeffrey Hunter, notableWork, Temple Houston]
-
A.
William Marsh Rice
William Marsh Rice was a 19th-century American businessman and philanthropist whose fortune endowed and led to the creation of Rice University in Houston, Texas.
-
B.
Irby Smith
Irby Smith is a film producer best known for his work on the hit comedy Western "City Slickers."
-
C.
William P. Hobby
William P. Hobby was a prominent Texas politician and newspaper publisher who served as the 27th governor of Texas in the early 20th century.
-
D.
Dallas Hall
Dallas Hall is the historic neoclassical centerpiece and oldest building of Southern Methodist University, serving as an iconic symbol of the campus.
-
E.
Baylor
Baylor is a surname most notably associated with American baseball player and manager Don Baylor.
- 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: Temple Houston Triple: [Jeffrey Hunter, notableWork, Temple Houston]
Generated description
Temple Houston is a 1960s American Western television series starring Jeffrey Hunter as a frontier lawyer in the Old West.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Temple Houston Target entity description: Temple Houston is a 1960s American Western television series starring Jeffrey Hunter as a frontier lawyer in the Old West.
-
A.
William Marsh Rice
William Marsh Rice was a 19th-century American businessman and philanthropist whose fortune endowed and led to the creation of Rice University in Houston, Texas.
-
B.
Irby Smith
Irby Smith is a film producer best known for his work on the hit comedy Western "City Slickers."
-
C.
William P. Hobby
William P. Hobby was a prominent Texas politician and newspaper publisher who served as the 27th governor of Texas in the early 20th century.
-
D.
Dallas Hall
Dallas Hall is the historic neoclassical centerpiece and oldest building of Southern Methodist University, serving as an iconic symbol of the campus.
-
E.
Baylor
Baylor is a surname most notably associated with American baseball player and manager Don Baylor.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490361c081908fd24f9a812f212c |
completed | April 19, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01aff0b26c8190a6e65451e52199bb |
completed | May 11, 2026, 10:31 a.m. |
| NEDg | Description generation | batch_6a01b12b5df4819089fd89fd25338533 |
completed | May 11, 2026, 10:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b17486c08190aa47953e74c62e84 |
completed | May 11, 2026, 10:37 a.m. |
Created at: April 10, 2026, 5:46 a.m.