Triple

T5066472
Position Surface form Disambiguated ID Type / Status
Subject Ma Barker E114155 entity
Predicate child P120 FINISHED
Object Lloyd Barker E497513 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: Lloyd Barker | Statement: [Ma Barker, child, Lloyd Barker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lloyd Barker
Context triple: [Ma Barker, child, Lloyd Barker]
  • A. Lloyd Barker chosen
    Lloyd Barker was an American gangster best known as a member of the notorious Barker–Karpis crime gang during the early 20th century.
  • B. Lloyd Hubler
    Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
  • C. Cliff Hagan
    Cliff Hagan is an American Hall of Fame basketball player best known for his scoring prowess with the St. Louis Hawks and later as a player-coach in the ABA.
  • D. William Baker
    William Baker was a 19th-century British civil engineer noted for designing major railway structures, including prominent bridges for the expanding Victorian rail network.
  • E. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749aceac8190817278266308fd64 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe4abf2c81908946d4ab18b7273d completed March 21, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:38 p.m.