Triple

T15965403
Position Surface form Disambiguated ID Type / Status
Subject Where Do You Belong? E387175 entity
Predicate featuresCharacter P626 FINISHED
Object Damian Hubbard E387172 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: Damian Hubbard | Statement: [Where Do You Belong?, featuresCharacter, Damian Hubbard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damian Hubbard
Context triple: [Where Do You Belong?, featuresCharacter, Damian Hubbard]
  • A. Damian Hubbard chosen
    Damian Hubbard is a flamboyant, witty high school student who serves as Janis Sarkisian’s best friend and a key source of comic relief in the Mean Girls musical.
  • B. Adrian Foster
    Adrian Foster is a Canadian municipal politician who serves as the long-time mayor of Clarington, Ontario.
  • C. Kallum Watkins
    Kallum Watkins is an English professional rugby league footballer best known for his successful career as a centre for Leeds Rhinos and the England national team.
  • D. Damian Jones
    Damian Jones is a British film producer known for backing a wide range of acclaimed independent and mainstream films.
  • E. Declan Rice
    Declan Rice is an English professional footballer, known as a top defensive midfielder, who plays for Arsenal and the England national team.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157258b3c8190a72c868bd055ed94 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe84f4888190b3fdb5f32763f78d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:54 a.m.