Triple
T9665498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Monro |
E233694
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Monro |
E711142
|
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: Monro | Statement: [Harold Monro, familyName, Monro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monro Context triple: [Harold Monro, familyName, Monro]
-
A.
Monro
chosen
Monro is a variant spelling of the Scottish surname Munro, historically associated with a Highland clan from Easter Ross.
-
B.
Munroe
Munroe is a surname of Scottish origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
C.
Peniston
Peniston is a masculine given name of English origin, historically borne by several members of the British aristocracy.
-
D.
Monroe
Monroe is a Chicago 'L' rapid transit station located in the Loop and served by the Chicago Transit Authority's Red Line.
-
E.
Monroe
Monroe is a surname most famously associated with Earl Monroe, a Hall of Fame American basketball player known for his flashy playing style.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c38f65c8190a0ed20830249a0f1 |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a1c8b188190bcff470244b21640 |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:14 p.m.