Triple
T3798625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 50 First Dates |
E91633
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Jeff Gourson |
E346810
|
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: Jeff Gourson | Statement: [50 First Dates, editedBy, Jeff Gourson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Gourson Context triple: [50 First Dates, editedBy, Jeff Gourson]
-
A.
Jeff Gourson
chosen
Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
-
B.
Kevin Gage
Kevin Gage is an American actor best known for his intense supporting roles in films such as "Heat" and "G.I. Jane."
-
C.
Brian Routh
Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
-
D.
Gary Dornhoefer
Gary Dornhoefer is a former Canadian right winger best known for his gritty play and clutch scoring with the Philadelphia Flyers during their "Broad Street Bullies" era in the 1970s.
-
E.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7a270908190ac30537a22f3d500 |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd34ff23481908bfd853f760cc153 |
completed | March 20, 2026, 11:08 p.m. |
Created at: March 9, 2026, 3:15 p.m.