Triple
T9519332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judith Thurman |
E229605
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Michael Kimmelman
Michael Kimmelman is an American architecture critic and journalist best known for his work at The New York Times.
|
E803971
|
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: Michael Kimmelman | Statement: [Judith Thurman, spouse, Michael Kimmelman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Kimmelman Context triple: [Judith Thurman, spouse, Michael Kimmelman]
-
A.
Marc Rosenthal
Marc Rosenthal is an American illustrator and cartoonist known for his humorous, retro-style artwork in children’s books and magazines.
-
B.
Bill Cunningham
Bill Cunningham is a fictional character appearing in Enid Blyton’s children’s adventure novel "The Valley of Adventure."
-
C.
Bill Cunningham
Bill Cunningham was a renowned New York Times fashion photographer celebrated for his candid street-style images that documented everyday fashion and cultural trends.
-
D.
Jeffrey Auerbach
Jeffrey Auerbach is a film producer best known for his work on the stop-motion animated feature "Corpse Bride."
-
E.
Jeffrey Kluger
Jeffrey Kluger is an American science and technology journalist and author best known for co-writing the book about the Apollo 13 mission that inspired the film adaptation.
- 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: Michael Kimmelman Triple: [Judith Thurman, spouse, Michael Kimmelman]
Generated description
Michael Kimmelman is an American architecture critic and journalist best known for his work at The New York Times.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Kimmelman Target entity description: Michael Kimmelman is an American architecture critic and journalist best known for his work at The New York Times.
-
A.
Marc Rosenthal
Marc Rosenthal is an American illustrator and cartoonist known for his humorous, retro-style artwork in children’s books and magazines.
-
B.
Bill Cunningham
Bill Cunningham is a fictional character appearing in Enid Blyton’s children’s adventure novel "The Valley of Adventure."
-
C.
Bill Cunningham
Bill Cunningham was a renowned New York Times fashion photographer celebrated for his candid street-style images that documented everyday fashion and cultural trends.
-
D.
Jeffrey Auerbach
Jeffrey Auerbach is a film producer best known for his work on the stop-motion animated feature "Corpse Bride."
-
E.
Jeffrey Kluger
Jeffrey Kluger is an American science and technology journalist and author best known for co-writing the book about the Apollo 13 mission that inspired the film adaptation.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9881e0f081909a0177cedc2e8b95 |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a51292c8190b871509a32897251 |
completed | April 4, 2026, 4:20 p.m. |
| NEDg | Description generation | batch_69d13c0344388190aefc18936b17b9f0 |
completed | April 4, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13c7b2954819096a276e083d4fed1 |
completed | April 4, 2026, 4:29 p.m. |
Created at: March 30, 2026, 7:59 p.m.