Triple
T657186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina Fey |
E11671
|
entity |
| Predicate | coStarredWith |
P14987
|
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: [Tina Fey, coStarredWith, Tracy Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracy Morgan Context triple: [Tina Fey, coStarredWith, 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.
Jim Gaffigan
Jim Gaffigan is an American stand-up comedian and actor known for his observational, family-friendly humor and roles in both film and television.
-
C.
Dan Quagmire
Dan Quagmire is a minor character in the animated television series "Family Guy," known primarily as the father of Glenn Quagmire.
-
D.
Jason Sudeikis
Jason Sudeikis is an American actor, comedian, writer, and producer best known for his work on "Saturday Night Live" and for creating and starring in the acclaimed series "Ted Lasso."
-
E.
Joseph Clerico
Joseph Clerico was a French impresario best known for co-founding and developing the famed Lido de Paris cabaret into one of Paris’s most iconic nightlife institutions.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a517ac148190aa032b77885bf709 |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5914abe2c8190a27f520f445554d8 |
completed | March 2, 2026, 1:31 p.m. |
Created at: March 1, 2026, 7:36 p.m.