Triple
T6567655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haggerty |
E153951
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Hegarty |
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: Hegarty | Statement: [Haggerty, hasVariant, Hegarty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hegarty Context triple: [Haggerty, hasVariant, Hegarty]
-
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.
McClurg
McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
-
C.
Magruder
Magruder is a surname most notably associated with Jeb Stuart Magruder, a key figure in the Watergate scandal during the Nixon administration.
-
D.
Hattie
Hattie is a feminine given name most famously borne by Hattie McDaniel, the first African American to win an Academy Award.
-
E.
Harper
Harper is a small community located in Raleigh County, West Virginia, in the United States.
- 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_69c6ae5381e88190b44dc4440efdd8ae |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d564cb908190bb8885e6c8d8abac |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:53 p.m.