Triple
T10836714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Intelligence |
E255777
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ryan Hansen |
E365126
|
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: Ryan Hansen | Statement: [Central Intelligence, starring, Ryan Hansen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Hansen Context triple: [Central Intelligence, starring, Ryan Hansen]
-
A.
Ryan Hansen
chosen
Ryan Hansen is an American actor best known for his role as Dick Casablancas on the television series "Veronica Mars."
-
B.
Andrew Hines
Andrew Hines is a music video director known for his creative visual work in the contemporary music industry.
-
C.
Scott Hanson
Scott Hanson is an American sportscaster best known as the longtime host of NFL RedZone, where he provides live, whip-around coverage of Sunday afternoon NFL games.
-
D.
Andy Hanson
Andy Hanson is a central, morally conflicted character in the crime drama film "Before the Devil Knows You're Dead," whose desperate decisions drive the story's tragic events.
-
E.
Christopher Lennertz
Christopher Lennertz is an American composer best known for his film, television, and video game scores, including work on major comedies, action films, and popular series like Supernatural.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d746ff70148190b844ab92d796af6c |
completed | April 9, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4acb7fdac8190bced7e26c948ee4a |
completed | April 19, 2026, 10:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.