Triple
T13108903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tigerland |
E310919
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Matthew Davis |
E608549
|
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: Matthew Davis | Statement: [Tigerland, castMember, Matthew Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Davis Context triple: [Tigerland, castMember, Matthew Davis]
-
A.
Matthew Davis
chosen
Matthew Davis is an American actor best known for his role as Alaric Saltzman on the supernatural drama television series "The Vampire Diaries."
-
B.
Clark Duke
Clark Duke is an American actor, comedian, and filmmaker known for roles in projects like "Hot Tub Time Machine," "The Office," and "Kick-Ass."
-
C.
Daniel Henney
Daniel Henney is an American actor and model known for his roles in films and television series such as "Big Hero 6," "Criminal Minds," and "The Wheel of Time."
-
D.
Lewis Pullman
Lewis Pullman is an American actor known for roles in films such as "Top Gun: Maverick," "Bad Times at the El Royale," and "The Strangers: Prey at Night."
-
E.
Ben Foster
Ben Foster is a British composer and orchestrator best known for his work on television scores, including contributions to the revived Doctor Who series.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7396e6cf881908b4cc3836501ed08 |
completed | May 3, 2026, 12:02 p.m. |
Created at: April 9, 2026, 9:05 p.m.