Triple
T17604901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Muir |
E428801
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Harold Muir |
—
|
NE NERFINISHED |
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: Harold Muir | Statement: [Harold Muir, name, Harold Muir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harold Muir Context triple: [Harold Muir, name, Harold Muir]
-
A.
Harold Muir
chosen
Harold Muir is an individual notable enough to be specifically cited as a bearer of the surname Muir.
-
B.
Geoffrey Homes
Geoffrey Homes was the pen name of American writer Daniel Mainwaring, best known for his hardboiled crime novels and screenplays, including the source novel for the classic film noir "Out of the Past."
-
C.
Charles Foster
Charles Foster is one of the children of acclaimed American actress and filmmaker Jodie Foster.
-
D.
Jonathan Raban
Jonathan Raban was a British travel writer, novelist, and critic renowned for his reflective, genre-blending works on place, identity, and journey.
-
E.
Graham Carr
Graham Carr is a Canadian academic and administrator who serves as the president of Concordia University in Montreal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4b4ee88190827ea28b99ca6f33 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.