Triple
T2351709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hartnett |
E47461
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Michael P. Hartnett |
E259252
|
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: Michael P. Hartnett | Statement: [Hartnett, hasNotableBearer, Michael P. Hartnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael P. Hartnett Context triple: [Hartnett, hasNotableBearer, Michael P. Hartnett]
-
A.
Michael Hartnett
chosen
Michael Hartnett was a prominent Irish poet known for his lyrical style and his work in both English and Irish, often exploring themes of language, identity, and rural life.
-
B.
Murray Kinnell
Murray Kinnell was an English-born character actor active in early 20th-century American cinema, known for his supporting roles in numerous Hollywood films of the 1930s and 1940s.
-
C.
Robert Hartnett
Robert Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett.
-
D.
John Callaghan
John Callaghan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Callaghan.
-
E.
Michael Heaney
Michael Heaney is the son of Nobel Prize–winning Irish poet Seamus Heaney and is known for his work as a librarian and bibliographer.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f8ff548190b07505310e2bf0b9 |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf2eb7a88190b421df42acbd974b |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 4, 2026, 7:54 p.m.