Triple
T10971926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Hartnett |
E259256
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dan Hartnett |
E259256
|
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: Dan Hartnett | Statement: [Dan Hartnett, name, Dan Hartnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Hartnett Context triple: [Dan Hartnett, name, Dan Hartnett]
-
A.
Dan Hartnett
chosen
Dan Hartnett is an individual notable enough to be recognized as a bearer of the Hartnett surname, though specific widely known public details about him are not clearly established.
-
B.
Dale Brown
Dale Brown is a former American college basketball coach best known for leading the LSU Tigers men's basketball program to national prominence from the 1970s through the 1990s.
-
C.
Jack Asher
Jack Asher was a British cinematographer best known for his atmospheric, color-rich work on classic Hammer horror films of the 1950s and 1960s.
-
D.
Michael T. Good
Michael T. Good is a NASA astronaut and retired U.S. Air Force colonel who flew on multiple Space Shuttle missions, including the final servicing mission to the Hubble Space Telescope.
-
E.
David Hartnett
David Hartnett is a British civil servant best known for serving as the Permanent Secretary for Tax at HM Revenue and Customs, where he was the UK's top tax official.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719b5edc81908c1019f81e78bd2e |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d790df108190b4a3a6fece372778 |
completed | April 18, 2026, 1 a.m. |
Created at: April 8, 2026, 9:24 p.m.