Triple
T10033746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy Hamill |
E204912
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hamill |
E244895
|
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: Hamill | Statement: [Dorothy Hamill, familyName, Hamill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamill Context triple: [Dorothy Hamill, familyName, Hamill]
-
A.
Hamill
chosen
Hamill is the surname of Mark Hamill, the American actor best known for portraying Luke Skywalker in the Star Wars film series.
-
B.
Hillegas
Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
-
C.
Hartnett
Hartnett is a surname most prominently associated with American actor Josh Hartnett, known for his film and television roles since the late 1990s.
-
D.
Gorman
Gorman is a surname most notably associated with English actor Burn Gorman, known for his roles in film and television.
-
E.
Hamar Greenwood
Hamar Greenwood was a British politician and the last Chief Secretary for Ireland, known for his controversial role during the Irish War of Independence and the Anglo-Irish Treaty period.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce490ff08190963d841b05d150a7 |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28250be608190b7e2b809672cdd78 |
completed | April 5, 2026, 3:40 p.m. |
Created at: March 30, 2026, 8:54 p.m.