Triple
T22395608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Unborn (2009 film) |
E553620
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Cam Gigandet |
—
|
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: Cam Gigandet | Statement: [The Unborn (2009 film), starredActor, Cam Gigandet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cam Gigandet Context triple: [The Unborn (2009 film), starredActor, Cam Gigandet]
-
A.
Cam Gigandet
chosen
Cam Gigandet is an American actor known for his roles in films such as "Twilight," "Never Back Down," and various television series.
-
B.
Robby Keough
Robby Keough is a fictional military officer and disease-control specialist featured in the medical disaster film "Outbreak."
-
C.
Leslie Senzatimore
Leslie Senzatimore is a character in Rebecca Miller’s novel "Jacob’s Folly," involved in the book’s intertwining contemporary narrative that contrasts with the story of the reincarnated 18th-century peddler Jacob.
-
D.
Guy Danella
Guy Danella is a film producer known for his work on the action-comedy Christmas movie "Violent Night."
-
E.
Joe Dana
Joe Dana is a musician best known as a member of the punk/garage rock band The Underground Railroad to Candyland.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585e84b081908c95ed3e0d987ed8 |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.