Triple
T4572323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toshiko Sato |
E123059
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Owen Harper |
E83671
|
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: Owen Harper | Statement: [Toshiko Sato, worksWith, Owen Harper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Owen Harper Context triple: [Toshiko Sato, worksWith, Owen Harper]
-
A.
Owen Harper
chosen
Owen Harper is a central character in the British sci-fi series "Torchwood," serving as the team's acerbic and brilliant medical officer.
-
B.
Daniel P. McCoy
Daniel P. McCoy is an American politician who serves as the chief executive of Albany County, New York, overseeing county government operations and policy implementation.
-
C.
Daniel Grayson
Daniel Grayson is a central character in the TV drama "Revenge," known as the wealthy and conflicted heir of the powerful Grayson family.
-
D.
Maxwell Lord
Maxwell Lord is a powerful and morally ambiguous DC Comics businessman and manipulator often associated with the Justice League and Wonder Woman.
-
E.
Owen Davian
Owen Davian is the ruthless and highly intelligent arms dealer who serves as the primary antagonist in the film "Mission: Impossible III."
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c711408190a2b096daf57e6eac |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3d709308190aeb6a71a9dabdd3c |
completed | March 20, 2026, 11:10 p.m. |
Created at: March 20, 2026, 1:10 p.m.