Triple

T18056144
Position Surface form Disambiguated ID Type / Status
Subject Twin Town E432043 entity
Predicate hasMusicBy P1952 FINISHED
Object Mark Thomas NE NERFINISHED

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: Mark Thomas | Statement: [Twin Town, hasMusicBy, Mark Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Thomas
Context triple: [Twin Town, hasMusicBy, Mark Thomas]
  • A. Mark Thomas chosen
    Mark Thomas is a British composer best known for his film and television scores, including the soundtrack for the horror film "Dog Soldiers."
  • B. Scott Thomas
    Scott Thomas is an actor known for his role in the Western film "Guns of the Magnificent Seven."
  • C. Scott Thomas
    Scott Thomas is a surname most prominently associated with English actress Kristin Scott Thomas, known for her acclaimed film and stage performances.
  • D. Scott Thomas
    Scott Thomas is the hapless American teenager who embarks on a chaotic European adventure after a breakup in the comedy film "EuroTrip."
  • E. Charlie Brooks
    Charlie Brooks is a British racehorse trainer and newspaper columnist known partly for his high-profile marriage to former News International chief executive Rebekah Brooks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c102d08081908d2419c898213400 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.