Triple
T20690172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beacon Pictures |
E508528
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Runner |
—
|
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: The Runner | Statement: [Beacon Pictures, notableWork, The Runner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Runner Context triple: [Beacon Pictures, notableWork, The Runner]
-
A.
The Runner
The Runner is a baseball player who has reached base and is attempting to advance safely around the bases to score a run.
-
B.
The Runner
chosen
The Runner is a film produced by Pearl Street Films, the production company co-founded by actors Matt Damon and Ben Affleck.
-
C.
The Runner
"The Runner" is a song by American rock band Kings of Leon from their 2007 album "Because of the Times."
-
D.
The Runner
The Runner is a lesser-known work by American novelist Don DeLillo, recognized as part of his broader body of postmodern, psychologically probing fiction.
-
E.
Star Runner
Star Runner is a 2003 Hong Kong martial arts action film starring Andy On as a young fighter entangled in underground boxing and triad conflicts.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10cb5588190acb88f2c82fc593a |
completed | April 21, 2026, 12:13 a.m. |
Created at: April 16, 2026, 12:08 p.m.