Triple
T3661697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Greenfield |
E77663
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | New Girl |
E230771
|
NE FINISHED |
How this triple was built (2 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: New Girl | Statement: [Max Greenfield, notableWork, New Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Girl Context triple: [Max Greenfield, notableWork, New Girl]
-
A.
New Girl
chosen
New Girl is an American sitcom that follows the quirky misadventures of Jess Day and her three male roommates in a Los Angeles loft.
-
B.
New Girl in Town
New Girl in Town is a 1957 Broadway musical adaptation of Eugene O’Neill’s play "Anna Christie," best known for its Tony-winning star turn by Gwen Verdon.
-
C.
The Mindy Project
The Mindy Project is an American television sitcom created by and starring Mindy Kaling that follows an obstetrician-gynecologist navigating her personal and professional life in New York City.
-
D.
30 Rock
30 Rock is an American satirical television sitcom that parodies the behind-the-scenes workings of a fictional sketch comedy show, created by and starring Tina Fey.
-
E.
How I Met Your Mother
How I Met Your Mother is a popular American sitcom that follows Ted Mosby and his friends in New York City as he recounts to his children the long, comedic story of how he met their mother.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d826d88190b0b50e8592088a36 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48846af9881909d71d63b8bd8d141 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.