Triple
T11202949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah Whitrow |
E265085
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Whitrow |
E265084
|
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: Whitrow | Statement: [Hannah Whitrow, familyName, Whitrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitrow Context triple: [Hannah Whitrow, familyName, Whitrow]
-
A.
Whitrow
chosen
Whitrow is an English surname most notably associated with the late British actor Benjamin Whitrow.
-
B.
Troughton
Troughton is a British surname most notably associated with actor Patrick Troughton, who played the Second Doctor in the long-running television series Doctor Who.
-
C.
Jethro Lazenby
Jethro Lazenby was an Australian model, actor, and photographer best known as the son of musician Nick Cave.
-
D.
Kay Thorndyke
Kay Thorndyke is a powerful and manipulative political influencer in the 1948 film "State of the Union," where she drives much of the story’s intrigue and ambition.
-
E.
John Longden
John Longden was a British actor best known for his leading roles in early sound films, including several directed by Alfred Hitchcock.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d355c481908fc3d555b596314d |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad0984e08190af9c8263cc2a079d |
completed | April 19, 2026, 10:23 a.m. |
Created at: April 8, 2026, 9:29 p.m.