Triple
T4306254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Biehn |
E99960
|
entity |
| Predicate | appearedIn |
P795
|
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: [Michael Biehn, appearedIn, The Fan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Fan Context triple: [Michael Biehn, appearedIn, 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.
Fever Pitch
Fever Pitch is a 2005 romantic comedy film about a baseball-obsessed schoolteacher whose devotion to the Boston Red Sox complicates his relationship.
-
C.
The B Team
The B Team is a global nonprofit initiative that brings together business and civil society leaders to promote responsible, sustainable, and inclusive business practices worldwide.
-
D.
Maximum Bob
Maximum Bob is a crime novel by Elmore Leonard that blends dark humor with a story about a hardline Florida judge entangled in quirky, dangerous situations.
-
E.
For Your Glory
"For Your Glory" is a popular contemporary gospel worship song by Tasha Cobbs known for its heartfelt lyrics of surrender and devotion to God.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350ba57ec8190afda7d8318e5d2d0 |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c75382848190a4f2141a72e3fb3a |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:09 p.m.