Triple

T17328267
Position Surface form Disambiguated ID Type / Status
Subject Emily Rutherfurd E420743 entity
Predicate notableWork P4 FINISHED
Object Pain & Gain E161216 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: Pain & Gain | Statement: [Emily Rutherfurd, notableWork, Pain & Gain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pain & Gain
Context triple: [Emily Rutherfurd, notableWork, Pain & Gain]
  • A. Pain & Gain chosen
    Pain & Gain is a dark action-comedy film about bodybuilders in Miami who become involved in a kidnapping and extortion scheme, directed by Michael Bay and starring Mark Wahlberg and Dwayne Johnson.
  • B. Boo & Gotti
    Boo & Gotti were a hip hop duo from Chicago known for their early-2000s collaborations with artists on Cash Money Records.
  • C. Southpaw
    Southpaw is a 2015 American sports drama film about a troubled boxer fighting to rebuild his life and career after a personal tragedy.
  • D. Southpaw
    Southpaw is the costumed team mascot of the Jacksonville Jumbo Shrimp minor league baseball club, entertaining fans at games and community events.
  • E. Snatched
    Snatched is a 2017 comedy film starring Goldie Hawn and Amy Schumer as a mother-daughter duo whose tropical vacation goes disastrously off course.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d42154819093a240f677a63145 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c4dff088190833122dbe2981045 completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.