Triple
T13694685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Men Want |
E328353
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Tina Gordon Chism |
E609974
|
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: Tina Gordon Chism | Statement: [What Men Want, screenwriter, Tina Gordon Chism]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tina Gordon Chism Context triple: [What Men Want, screenwriter, Tina Gordon Chism]
-
A.
Tina Gordon Chism
chosen
Tina Gordon Chism is an American screenwriter and director known for her work on films such as Drumline, ATL, and Little, often highlighting Black culture and family dynamics.
-
B.
Tina Wilcox
Tina Wilcox is a fictional character portrayed by Ann Dusenberry, best known from the 1978 film "Jaws 2."
-
C.
Cheryl Johnson
Cheryl Johnson is the wife of American sportscaster Ernie Johnson Jr., known for her long-standing support of his broadcasting career and their family.
-
D.
Tina Moss
Tina Moss is known as the wife of the late American record executive and A&M Records co-founder Jerry Moss.
-
E.
Maree Cheatham
Maree Cheatham is an American actress best known for her long-running roles in daytime soap operas and recurring appearances in film and television comedies.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19259070819089bd3caf66e5af29 |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 9:54 p.m.