Triple

T29192971
Position Surface form Disambiguated ID Type / Status
Subject Limahl E740041 entity
Predicate associatedAct P37 FINISHED
Object Steve Askew
Steve Askew is an English guitarist best known as a member of the 1980s pop band Kajagoogoo, which featured singer Limahl.
E1852669 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: Steve Askew | Statement: [Limahl, associatedAct, Steve Askew]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Steve Askew
Triple: [Limahl, associatedAct, Steve Askew]
Generated description
Steve Askew is an English guitarist best known as a member of the 1980s pop band Kajagoogoo, which featured singer Limahl.

Provenance (5 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_69f07cb8033c8190b8807e219a14333d completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6638cf96081909686087393f5d8d1 completed May 2, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a255085c6c48190a68303acceefc26b completed June 7, 2026, 11:05 a.m.
NEDg Description generation batch_6a2554b16b8481908ffb9447fb3f35a5 completed June 7, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_6a2558e69dfc81908eea54a231ab38e7 completed June 7, 2026, 11:41 a.m.
Created at: April 28, 2026, 12:03 p.m.