Triple
T3536907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tracy Morgan |
E74792
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Tracy Jamal 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 Jamal Morgan | Statement: [Tracy Morgan, birthName, Tracy Jamal Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracy Jamal Morgan Context triple: [Tracy Morgan, birthName, Tracy Jamal 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.
Lee Mack
Lee Mack is a British stand-up comedian, actor, and writer best known for his quick-fire wit and starring role in the sitcom "Not Going Out."
-
C.
Charlie Murphy
Charlie Murphy was an American comedian, actor, and writer best known for his work on "Chappelle's Show" and for being the older brother of Eddie Murphy.
-
D.
Jeff Garlin
Jeff Garlin is an American comedian and actor best known for his role as Jeff Greene on the HBO series "Curb Your Enthusiasm" and for his work in film and voice acting.
-
E.
Chris Tucker
Chris Tucker is an American actor and comedian best known for his high-energy performances in the Rush Hour film series and other popular 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbcc7b92481908d2d99948780f4d0 |
completed | March 8, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb87c3748190bce62e86fcdfa380 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 3:20 p.m.