Triple
T18967438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ultravox |
E464077
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Warren Cann |
E1353981
|
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: Warren Cann | Statement: [Ultravox, notableMember, Warren Cann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren Cann Context triple: [Ultravox, notableMember, Warren Cann]
-
A.
Warren Cann
chosen
Warren Cann is a Canadian drummer and electronic percussion pioneer best known for his work with the British new wave band Ultravox.
-
B.
Warren Ham
Warren Ham is an American multi-instrumentalist and vocalist known for his work with major rock acts such as Toto, Kansas, and Ringo Starr’s All Starr Band.
-
C.
Donald Warren
Donald Warren is an American Thoroughbred racehorse trainer best known for conditioning the champion mare Stellar Wind.
-
D.
Warren Lamb
Warren Lamb was a British movement analyst and management consultant known for extending Laban’s work into a systematic method for interpreting behavior and decision-making through movement patterns.
-
E.
Warren McIntyre
Warren McIntyre is a central male character in F. Scott Fitzgerald’s short story "Bernice Bobs Her Hair," portrayed as a popular young man whose shifting romantic attentions help drive the story’s social tensions.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d7183c8190b1258c0381233efd |
completed | April 20, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05be41ad30819094b390f3527e522e |
completed | May 14, 2026, 12:21 p.m. |
Created at: April 10, 2026, noon