Triple
T19630371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace Hartigan |
E471249
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Hartigan |
—
|
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: Hartigan | Statement: [Grace Hartigan, hasSurname, Hartigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartigan Context triple: [Grace Hartigan, hasSurname, Hartigan]
-
A.
Hartigan
chosen
Hartigan is a surname most notably associated with Grace Hartigan, a prominent American Abstract Expressionist painter.
-
B.
Hastie
Hastie is a Scottish-origin surname borne by various notable individuals across fields such as law, politics, and academia.
-
C.
Hartman
Hartman is a surname of Germanic origin borne by various notable individuals across fields such as entertainment, academia, and politics.
-
D.
Horvitz
Horvitz is a surname most notably associated with American television director Louis J. Horvitz, known for directing major live award shows and events.
-
E.
Kornhauser-Duda
Kornhauser-Duda is the hyphenated surname of Agata Kornhauser-Duda, the Polish teacher and First Lady of Poland as the wife of President Andrzej Duda.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641025d708190aa44bb24671b9455 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.