Triple
T11546541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neversoft |
E273788
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Chris Ward |
E736083
|
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: Chris Ward | Statement: [Neversoft, foundedBy, Chris Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Ward Context triple: [Neversoft, foundedBy, Chris Ward]
-
A.
Chris Ward
chosen
Chris Ward is a relatively common personal name shared by multiple individuals across fields such as sports, politics, and the arts.
-
B.
Paul Wickens
Paul Wickens is a British keyboardist and musical director best known for his long-standing collaboration with Paul McCartney in both studio recordings and live performances.
-
C.
Stephen Byerley
Stephen Byerley is a central character in Isaac Asimov’s Robot series, notably depicted as a seemingly human politician whose true nature as a possible robot raises profound questions about identity and humanity.
-
D.
Michael Cochrane
Michael Cochrane is a British actor known for his extensive work in television, film, and radio, often appearing in period dramas and character roles.
-
E.
Michael Wright
Michael Wright is an American actor known for his roles in films and television series such as "The Five Heartbeats," "Sugar Hill," and the HBO series "Oz."
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e3ad548190b2c88332f5d919bd |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e685de2bf88190b1f59513fd47feeb |
completed | April 20, 2026, 8 p.m. |
Created at: April 8, 2026, 9:37 p.m.