Triple
T8094844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Predator |
E188956
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Boyd Holbrook |
E220425
|
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: Boyd Holbrook | Statement: [The Predator, stars, Boyd Holbrook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boyd Holbrook Context triple: [The Predator, stars, Boyd Holbrook]
-
A.
Boyd Holbrook
chosen
Boyd Holbrook is an American actor and former model known for roles in films like "Logan" and "Gone Girl" and the Netflix series "Narcos."
-
B.
William McMurray
William McMurray was a historical figure after whom the Canadian city of Fort McMurray in Alberta was named, likely due to his role in the region’s early development or exploration.
-
C.
Joe Holt
Joe Holt is an American actor best known for his role in the television series "The Walking Dead: World Beyond."
-
D.
Warren William
Warren William was an American stage and film actor of the 1930s, best known for his suave, often morally ambiguous leading and supporting roles in Hollywood pre-Code dramas and mysteries.
-
E.
Richard Rosson
Richard Rosson was an American film director and assistant director active during Hollywood’s early studio era, recognized for his award-winning work behind the camera.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb429089cc81909e4625f9cc7e305f |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde709d3188190b3a954a613c3c5b2 |
completed | April 2, 2026, 3:48 a.m. |
Created at: March 30, 2026, 5:30 p.m.