Triple
T15584551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chewed Up |
E374583
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Michelle Caputo
Michelle Caputo is a television and film producer best known for her work on stand-up comedy specials and documentary-style projects.
|
E1165692
|
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: Michelle Caputo | Statement: [Chewed Up, producer, Michelle Caputo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Caputo Context triple: [Chewed Up, producer, Michelle Caputo]
-
A.
Susan Sullivan
Susan Sullivan is an American actress best known for her television roles in series such as "Falcon Crest," "Dharma & Greg," and "Castle."
-
B.
Mary Beth Johnson
Mary Beth Johnson is known as the wife of American Western film actor Charles Starrett.
-
C.
Betsy McCaughey
Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
-
D.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
-
E.
Anne Leahy
Anne Leahy is a Canadian diplomat and academic known for her service as ambassador to countries including Russia and the Holy See and for her expertise in international relations and religious diplomacy.
- 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: Michelle Caputo Triple: [Chewed Up, producer, Michelle Caputo]
Generated description
Michelle Caputo is a television and film producer best known for her work on stand-up comedy specials and documentary-style projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelle Caputo Target entity description: Michelle Caputo is a television and film producer best known for her work on stand-up comedy specials and documentary-style projects.
-
A.
Susan Sullivan
Susan Sullivan is an American actress best known for her television roles in series such as "Falcon Crest," "Dharma & Greg," and "Castle."
-
B.
Mary Beth Johnson
Mary Beth Johnson is known as the wife of American Western film actor Charles Starrett.
-
C.
Betsy McCaughey
Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
-
D.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
-
E.
Anne Leahy
Anne Leahy is a Canadian diplomat and academic known for her service as ambassador to countries including Russia and the Holy See and for her expertise in international relations and religious diplomacy.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e47971481909e986dd999354628 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4f71e48190a15eb0a2138f083f |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4fb2522481909fa66c2e1fac23bf |
completed | May 9, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5238f0e88190b280942022480c12 |
completed | May 9, 2026, 3:26 p.m. |
Created at: April 10, 2026, 4:11 a.m.