Triple
T10256544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Kinney |
E240483
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kinney |
E70008
|
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: Kinney | Statement: [Sean Kinney, familyName, Kinney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinney Context triple: [Sean Kinney, familyName, Kinney]
-
A.
Kinney
chosen
Kinney is a surname of English and Irish origin borne by various notable individuals across fields such as entertainment, sports, and politics.
-
B.
Nevin
Nevin is a surname most notably associated with Phil Nevin, a former Major League Baseball player and manager.
-
C.
Downey
Downey is the surname of American actor Robert Downey Jr., widely known for his versatile film career and iconic role as Iron Man in the Marvel Cinematic Universe.
-
D.
Downey
Downey is a suburban city in southeastern Los Angeles County, California, known historically for its aerospace industry and as the birthplace of the Apollo space program.
-
E.
Kirkewood
Kirkewood is an alternative spelling of the name Kirkwood, which is used for various places and surnames in English-speaking regions.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24d299881909615872e2777bdea |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7d7ff0c8190b8c9cf063532cdf2 |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:30 a.m.