Triple
T3820007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ransom |
E84348
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Dan Hanley |
E202037
|
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: Dan Hanley | Statement: [Ransom, editedBy, Dan Hanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Hanley Context triple: [Ransom, editedBy, Dan Hanley]
-
A.
Dan Hanley
chosen
Dan Hanley is an American film editor best known for his long-time collaboration with director Ron Howard on numerous major Hollywood films.
-
B.
Neale Hanvey
Neale Hanvey is a Scottish politician who has served as the Member of Parliament for the Kirkcaldy and Cowdenbeath constituency.
-
C.
Tim Haines
Tim Haines is a British television producer and director best known for creating groundbreaking prehistoric and natural history series that blend documentary storytelling with cutting-edge visual effects.
-
D.
Jeff Henley
Jeff Henley is an American business executive best known for his long tenure as Oracle Corporation’s chief financial officer and later chairman of the board.
-
E.
Mark Carlisle
Mark Carlisle was a British Conservative politician who served in senior government roles, including as Secretary of State for Education and Science under Prime Minister Margaret Thatcher.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeea601d408190b09dc486e77488d4 |
completed | March 9, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51222e5b08190aa4ac79722219798 |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 9, 2026, 3:17 p.m.