Triple
T2963230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Kirkwood |
E80098
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Daniel Kirkwood |
E80098
|
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: Daniel Kirkwood | Statement: [Daniel Kirkwood, name, Daniel Kirkwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Kirkwood Context triple: [Daniel Kirkwood, name, Daniel Kirkwood]
-
A.
Daniel Kirkwood
chosen
Daniel Kirkwood was a 19th-century American astronomer best known for discovering the Kirkwood gaps in the asteroid belt.
-
B.
William M. Hartmann
William M. Hartmann is an American physicist and psychoacoustician known for his influential research on auditory perception and acoustics.
-
C.
James Edward Keeler
James Edward Keeler was an American astronomer noted for his pioneering spectroscopic studies of Saturn’s rings and for his influential role in late 19th-century astrophysical research.
-
D.
John Requa
John Requa is an American screenwriter and director known for co-writing films such as "Bad Santa," "I Love You Phillip Morris," and "Jungle Cruise."
-
E.
Robert N. Fitch
Robert N. Fitch was a composer best known for writing the University of California fight song "Fight for California."
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9957602c819089b673966fd619e0 |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de92f04c8190967ec290cba891a6 |
completed | March 11, 2026, 9:28 p.m. |
Created at: March 8, 2026, 2:57 p.m.