Triple
T19452672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spiegel & Grau |
E486650
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Cindy Spiegel
Cindy Spiegel is a publishing executive and editor best known as the co-founder of the influential imprint Spiegel & Grau.
|
E1423372
|
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: Cindy Spiegel | Statement: [Spiegel & Grau, foundedBy, Cindy Spiegel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cindy Spiegel Context triple: [Spiegel & Grau, foundedBy, Cindy Spiegel]
-
A.
Cynthia Scheider
Cynthia Scheider is an American film editor known for her work on movies such as "The Taking of Pelham One Two Three" and "Kramer vs. Kramer."
-
B.
Cindy Chupack
Cindy Chupack is an American television writer, producer, and director best known for her work on series like "Sex and the City" and "Modern Family," as well as for directing the film "Otherhood."
-
C.
Diane Siegler
Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
-
D.
Cynthia Malkin
Cynthia Malkin is an American heiress and philanthropist best known as the longtime wife of U.S. Senator Richard Blumenthal.
-
E.
Joanne Schieble
Joanne Schieble is an American woman best known as the biological mother of Apple co-founder Steve Jobs.
- 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: Cindy Spiegel Triple: [Spiegel & Grau, foundedBy, Cindy Spiegel]
Generated description
Cindy Spiegel is a publishing executive and editor best known as the co-founder of the influential imprint Spiegel & Grau.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cindy Spiegel Target entity description: Cindy Spiegel is a publishing executive and editor best known as the co-founder of the influential imprint Spiegel & Grau.
-
A.
Cynthia Scheider
Cynthia Scheider is an American film editor known for her work on movies such as "The Taking of Pelham One Two Three" and "Kramer vs. Kramer."
-
B.
Cindy Chupack
Cindy Chupack is an American television writer, producer, and director best known for her work on series like "Sex and the City" and "Modern Family," as well as for directing the film "Otherhood."
-
C.
Diane Siegler
Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
-
D.
Cynthia Malkin
Cynthia Malkin is an American heiress and philanthropist best known as the longtime wife of U.S. Senator Richard Blumenthal.
-
E.
Joanne Schieble
Joanne Schieble is an American woman best known as the biological mother of Apple co-founder Steve Jobs.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6339407a08190a3e0213bfbb4df3d |
completed | April 20, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0861013a1081909a47782a9a1ac1d0 |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a086264e3408190847a995f3538c70b |
completed | May 16, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0863b6dd84819089344a5ff28bf0cf |
completed | May 16, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:38 p.m.