Triple

T13523703
Position Surface form Disambiguated ID Type / Status
Subject Nathan Gamble E322965 entity
Predicate notableWork P4 FINISHED
Object Marley & Me E365678 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: Marley & Me | Statement: [Nathan Gamble, notableWork, Marley & Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marley & Me
Context triple: [Nathan Gamble, notableWork, Marley & Me]
  • A. Marley & Me chosen
    Marley & Me is a 2008 comedy-drama film about a couple and their mischievous Labrador retriever, based on John Grogan’s bestselling memoir.
  • B. El cumpleaños del perro
    El cumpleaños del perro is a Mexican film best known for featuring acclaimed actress Ana Ofelia Murguía in a prominent role.
  • C. Losing Mum and Pup
    "Losing Mum and Pup" is a memoir by humorist Christopher Buckley reflecting with wit and poignancy on the lives and deaths of his famous parents, William F. Buckley Jr. and Patricia Buckley.
  • D. The Happy Family
    "The Happy Family" is a 1952 British comedy film starring Stanley Holloway as a shopkeeper who leads a spirited neighborhood resistance against the construction of a new railway station.
  • E. The Dog in Me
    The Dog in Me is a song featured on the album "Beware of Dog" by rapper Lil' Bow Wow.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa535cc81908d0018fef81a2848 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549c016c8190945a185b2bc20689 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.