Triple
T13694700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Men Want |
E328353
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tracy Morgan |
E74792
|
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: Tracy Morgan | Statement: [What Men Want, starring, Tracy Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracy Morgan Context triple: [What Men Want, starring, Tracy Morgan]
-
A.
Tracy Morgan
chosen
Tracy Morgan is an American comedian and actor best known for his work on "Saturday Night Live" and the sitcom "30 Rock."
-
B.
Drew Morgan
Drew Morgan is a music producer known for his work on Perfume Genius's critically acclaimed album "Put Your Back N 2 It."
-
C.
Hannibal Buress
Hannibal Buress is an American stand-up comedian, actor, writer, and producer known for his laid-back delivery, sharp observational humor, and roles in shows like "Broad City" and films such as "Spider-Man: Homecoming."
-
D.
Wayne Brady
Wayne Brady is an American actor, comedian, singer, and television personality best known for his improvisational work on "Whose Line Is It Anyway?" and hosting "Let's Make a Deal."
-
E.
Dane Cook
Dane Cook is an American stand-up comedian and actor known for his energetic, observational comedy and roles in films such as "Good Luck Chuck" and "Employee of the Month."
- 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_69f794514afc8190b334b1fc74a6cdd5 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.