Triple
T14799793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M. C. Gainey |
E347875
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Fan |
E101099
|
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: The Fan | Statement: [M. C. Gainey, notableWork, The Fan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Fan Context triple: [M. C. Gainey, notableWork, The Fan]
-
A.
The Fan
chosen
The Fan is a 1996 psychological thriller film about an obsessive baseball fan whose fixation on his favorite player turns dangerously violent.
-
B.
The Fan
The Fan is the popular nickname for Beijing's National Indoor Stadium, a major multi-purpose arena known for hosting events during the 2008 and 2022 Olympic Games.
-
C.
Fan of a Fan
Fan of a Fan is a collaborative hip hop mixtape by Tyga and Chris Brown that helped boost both artists' profiles with its club-ready tracks and catchy hooks.
-
D.
The Biggest Fan
The Biggest Fan is a 2002 teen comedy film centered on a high school girl who becomes obsessed with a pop star after he unexpectedly ends up hiding in her bedroom.
-
E.
Big Fan
Big Fan is a dark comedy-drama film about an obsessive New York Giants fan whose life unravels after a violent encounter with his favorite player.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd62c36c81909c2993dc7d1a79ea |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c2cd848190bb0d8e4b5f7a489c |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.