Triple
T2216290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Jackman |
E48039
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jackman |
E127512
|
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: Jackman | Statement: [Henry Jackman, familyName, Jackman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jackman Context triple: [Henry Jackman, familyName, Jackman]
-
A.
Hugh Jackman
chosen
Hugh Jackman is an Australian actor, singer, and producer best known for his versatile roles in film and theater, including his long-running portrayal of Wolverine in the X-Men franchise.
-
B.
Keanu Reeves
Keanu Reeves is a Canadian actor and producer known for his roles in blockbuster action and science fiction films such as The Matrix and John Wick franchises.
-
C.
Brendan Fraser
Brendan Fraser is a Canadian-American actor best known for his roles in films like "The Mummy" series, "George of the Jungle," and his Oscar-winning performance in "The Whale."
-
D.
Chris Pine
Chris Pine is an American actor known for his leading roles in major films such as the Star Trek reboot series, Wonder Woman, and various other Hollywood productions.
-
E.
Eric Bana
Eric Bana is an Australian actor known for his versatile performances in films such as "Hulk," "Munich," and "Troy."
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc00f4c3881909d03301fcdfa8b67 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae65594c948190a43bdab03e61c130 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.