Triple
T6567674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Haggerty |
E153951
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Haggerty |
E153951
|
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: Haggerty | Statement: [Michael Haggerty, familyName, Haggerty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haggerty Context triple: [Michael Haggerty, familyName, Haggerty]
-
A.
Haggerty
chosen
Haggerty is a surname of Irish origin borne by various notable individuals across fields such as business, politics, and the arts.
-
B.
Hooperman
Hooperman is an American television dramedy series from the late 1980s starring John Ritter as a San Francisco police inspector balancing his personal and professional life.
-
C.
McClurg
McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
-
D.
Holloway
Holloway is a district in the London Borough of Islington, England, known for its urban character and as the area surrounding Arsenal FC’s Emirates Stadium.
-
E.
Hart
Hart is a local government district and civil parish area in Hampshire, England, known for its high quality of life and largely rural character.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae54afd4819091ee65aca1de60a9 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7867e688190aad8cc2b396a64eb |
completed | March 27, 2026, 9:32 p.m. |
Created at: March 27, 2026, 1:53 p.m.