Triple

T15515433
Position Surface form Disambiguated ID Type / Status
Subject Physical (song) E368822 entity
Predicate composer P1361 FINISHED
Object Terry Shaddick E1163151 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: Terry Shaddick | Statement: [Physical (song), composer, Terry Shaddick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry Shaddick
Context triple: [Physical (song), composer, Terry Shaddick]
  • A. Terry Shaddick chosen
    Terry Shaddick is a British songwriter and musician best known for co-writing Olivia Newton-John’s hit song "Physical."
  • B. Terry Oakes
    Terry Oakes is a British fantasy and science fiction artist known for his vivid, detailed cover illustrations for novels and game books.
  • C. Terry Fisher
    Terry Fisher is a soccer coach best known for managing the Los Angeles Aztecs in the North American Soccer League.
  • D. Terry Britten
    Terry Britten is an English songwriter, musician, and record producer best known for writing and producing major hits for artists such as Tina Turner, including the song "What's Love Got to Do with It."
  • E. Terry Tumey
    Terry Tumey is an American college athletics administrator and former UCLA football player and NFL defensive lineman who serves as the athletic director at Fresno State.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04031e62c8190953b61207142af15 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c3618dc8190aab243bb61d198ce completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:02 a.m.