Triple
T11113712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seagate Technology Holdings plc |
E262827
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Finis Conner |
E262825
|
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: Finis Conner | Statement: [Seagate Technology Holdings plc, founder, Finis Conner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finis Conner Context triple: [Seagate Technology Holdings plc, founder, Finis Conner]
-
A.
Finis Conner
chosen
Finis Conner is an American entrepreneur best known as a pioneering figure in the hard disk drive industry and co-founder of both Seagate Technology and Conner Peripherals.
-
B.
Phil Urich
Phil Urich is a Marvel Comics character who briefly became a heroic version of the Green Goblin before later adopting other villainous identities.
-
C.
Flynn Bloom
Flynn Bloom is the son of English actor Orlando Bloom and American model Miranda Kerr.
-
D.
Owen Harper
Owen Harper is a central character in the British sci-fi series "Torchwood," serving as the team's acerbic and brilliant medical officer.
-
E.
Kai Dugan
Kai Dugan is the son of American actress Jennifer Connelly, known primarily for his connection to his famous mother.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa637888190935e852281408356 |
completed | April 9, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441cb16bc81908b5321506f655e38 |
completed | April 19, 2026, 2:45 a.m. |
Created at: April 8, 2026, 9:27 p.m.