Triple

T14959110
Position Surface form Disambiguated ID Type / Status
Subject Joan Tewkesbury E373012 entity
Predicate workedOn P3 FINISHED
Object Thieves Like Us E509041 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: Thieves Like Us | Statement: [Joan Tewkesbury, workedOn, Thieves Like Us]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thieves Like Us
Context triple: [Joan Tewkesbury, workedOn, Thieves Like Us]
  • A. Thieves Like Us chosen
    Thieves Like Us is a 1937 crime novel by Edward Anderson about two young lovers on the run with a gang of bank robbers in Depression-era America.
  • B. Thick as Thieves
    Thick as Thieves is a British television sitcom co-written by Ian La Frenais that follows the comedic misadventures of small-time criminals.
  • C. Thick as Thieves
    "Thick as Thieves" is a song by American rock band Daughtry from their album *What About Now*.
  • D. Thick as Thieves
    "Thick as Thieves" is a studio album by Australian indie rock band The Temper Trap, known for its anthemic sound and emotive, atmospheric style.
  • E. Thieves Highway
    Thieves Highway is a 1949 film noir crime drama directed by Jules Dassin that follows the dangerous world of San Francisco produce truckers entangled in corruption and betrayal.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cd85bc81909040b7ff78f62554 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968f25e08190bfbf7a3541f79add completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:40 a.m.