Triple
T15909941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TGS with Tracy Jordan |
E385818
|
entity |
| Predicate | hasFictionalCastMember |
P114999
|
FINISHED |
| Object | Josh Girard |
E803177
|
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: Josh Girard | Statement: [TGS with Tracy Jordan, hasFictionalCastMember, Josh Girard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Girard Context triple: [TGS with Tracy Jordan, hasFictionalCastMember, Josh Girard]
-
A.
Josh Girard
chosen
Josh Girard is a fictional character from the television series "30 Rock," known as one of the original writers and performers on the show-within-the-show "TGS with Tracy Jordan."
-
B.
Jeff Gourson
Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
-
C.
Gregg Bissonette
Gregg Bissonette is an American rock and session drummer known for his work with artists like David Lee Roth, Ringo Starr, and numerous high-profile studio projects.
-
D.
Ian LeFeuvre
Ian LeFeuvre is a Canadian composer, songwriter, and producer known for his work in film, television, and popular music.
-
E.
Greg DePaul
Greg DePaul is an American screenwriter and playwright best known for co-writing the romantic comedy film "Bride Wars."
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1828cd83c8190a3e15cccc8342c1f |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe6e844481908227ec9e46ac9f4d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.