Triple

T3623678
Position Surface form Disambiguated ID Type / Status
Subject Wyck Godfrey E76785 entity
Predicate notableWork P4 FINISHED
Object Paper Towns E54545 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: Paper Towns | Statement: [Wyck Godfrey, notableWork, Paper Towns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paper Towns
Context triple: [Wyck Godfrey, notableWork, Paper Towns]
  • A. Paper Towns chosen
    Paper Towns is a 2015 coming-of-age mystery film, based on John Green’s novel, that follows a teenager’s quest to find his enigmatic neighbor after her sudden disappearance.
  • B. Wonder Boys
    Wonder Boys is a 2000 comedy-drama film directed by Curtis Hanson about a disillusioned college professor and novelist navigating a chaotic weekend that upends his personal and professional life.
  • C. The Fault in Our Stars
    The Fault in Our Stars is a bestselling young adult novel by John Green, later adapted into a popular romantic drama film about two teenagers with cancer who fall in love.
  • D. Tangerine
    Tangerine is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its upbeat rhythm and vibrant, danceable style.
  • E. Tangerine
    "Tangerine" is a song by the English indie rock band Glass Animals, known for its dreamy production and introspective lyrics.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bc79008190abe6900adcbda8de completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43320955c8190910c0f15c80f41f4 completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.