Triple

T6226823
Position Surface form Disambiguated ID Type / Status
Subject Tommy Tune E139253 entity
Predicate familyName P18 FINISHED
Object Tune
Tune is the surname of American actor, dancer, singer, theatre director, and choreographer Tommy Tune.
 E577398 NE FINISHED

How this triple was built (4 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: Tune | Statement: [Tommy Tune, familyName, Tune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tune
Context triple: [Tommy Tune, familyName, Tune]
  • A. Tune
    Tune is a historic Viking ship burial site in Norway, notable for yielding one of the earliest known Viking ships, the Tune ship.
  • B. Tunes
    Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
  • C. In Tune
    In Tune is a long-running BBC Radio 3 magazine programme featuring live classical music performances, interviews with musicians, and arts news.
  • D. Coded Tunes
    Coded Tunes is a Nigerian music record label known for helping launch the career of rapper Olamide and other prominent Afrobeats artists.
  • E. Borrowed Tune
    Borrowed Tune is a reflective, piano-driven song by Neil Young, noted for its vulnerable lyrics and its melody borrowed from the Rolling Stones’ “Lady Jane.”
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Tune
Triple: [Tommy Tune, familyName, Tune]
Generated description
Tune is the surname of American actor, dancer, singer, theatre director, and choreographer Tommy Tune.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tune
Target entity description: Tune is the surname of American actor, dancer, singer, theatre director, and choreographer Tommy Tune.
  • A. Tune
    Tune is a historic Viking ship burial site in Norway, notable for yielding one of the earliest known Viking ships, the Tune ship.
  • B. Tunes
    Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
  • C. In Tune
    In Tune is a long-running BBC Radio 3 magazine programme featuring live classical music performances, interviews with musicians, and arts news.
  • D. Coded Tunes
    Coded Tunes is a Nigerian music record label known for helping launch the career of rapper Olamide and other prominent Afrobeats artists.
  • E. Borrowed Tune
    Borrowed Tune is a reflective, piano-driven song by Neil Young, noted for its vulnerable lyrics and its melody borrowed from the Rolling Stones’ “Lady Jane.”
  • F. None of above. chosen

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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062d5403081908effc8330bda3f0a completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dda7f80819085c0d6501a54f931 completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c211420c108190a868fa53877580b7 completed March 24, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_69c211d546348190b3954e3462b90a5f completed March 24, 2026, 4:23 a.m.
Created at: March 22, 2026, 4:22 p.m.