Triple

T15134443
Position Surface form Disambiguated ID Type / Status
Subject Telefone E361514 entity
Predicate hasTrack P3284 FINISHED
Object Shadow Man E1137942 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: Shadow Man | Statement: [Telefone, hasTrack, Shadow Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shadow Man
Context triple: [Telefone, hasTrack, Shadow Man]
  • A. Shadow Man chosen
    "Shadow Man" is a song by Brazilian singer-songwriter Telefone, likely blending introspective lyrics with atmospheric, genre-bending production.
  • B. Shadowman
    "Shadowman" is a film featuring actress Josephine Chaplin, known as part of her body of work in European cinema.
  • C. Mirror Man
    "Mirror Man" is a synth-pop song by British band The Human League, released in 1982 and known for its Motown-inspired sound and chart success.
  • D. Mirror Man
    Mirror Man is a skilled and fast-talking accomplice in the heist crew led by car thief Memphis Raines in the film "Gone in 60 Seconds."
  • E. The Outside Man
    The Outside Man is a 1972 French-Italian-American crime thriller film directed by Jacques Deray and starring Jean-Louis Trintignant and Ann-Margret.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b29a4c819087f8818e3f5788f5 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe8802c81909af9dd11a7805f31 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:06 a.m.