Triple
T21536485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She's Out of My League |
E531362
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Geoff Stults |
—
|
NE NERFINISHED |
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: Geoff Stults | Statement: [She's Out of My League, castMember, Geoff Stults]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoff Stults Context triple: [She's Out of My League, castMember, Geoff Stults]
-
A.
Geoff Stults
chosen
Geoff Stults is an American actor known for his roles in television series such as "7th Heaven" and "The Finder," as well as various film appearances.
-
B.
Stephan Blinn
Stephan Blinn is a screenwriter best known for his work on the Christian apocalyptic film "Megiddo: The Omega Code 2."
-
C.
Phil Wenneck
Phil Wenneck is a charismatic, fast-talking schoolteacher and member of the "Wolfpack" whose misadventures drive much of the comedy in The Hangover film series.
-
D.
Darin Scott
Darin Scott is an American filmmaker and screenwriter known for his work on crime and thriller films, including co-writing the 2006 action drama "Waist Deep."
-
E.
Gregg Johnson
Gregg Johnson is a fictional character appearing in the 1949 adventure film "Mighty Joe Young."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0e5a9c8190894ec3666d3296aa |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.