Triple

T12439799
Position Surface form Disambiguated ID Type / Status
Subject Hymie Weiss E297238 entity
Predicate associatedWith P37 FINISHED
Object George Moran E990345 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: George Moran | Statement: [Hymie Weiss, associatedWith, George Moran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Moran
Context triple: [Hymie Weiss, associatedWith, George Moran]
  • A. George Moran
    George Moran is an American physician best known as the husband of journalist and author Tatiana Schlossberg, the granddaughter of President John F. Kennedy.
  • B. George Moran chosen
    George "Bugs" Moran was a prominent American mobster and Prohibition-era gangster who led Chicago’s North Side Gang and was a key rival of Al Capone.
  • C. George Downes
    George Downes is a witty, supportive gay friend who serves as Julia Roberts’ character’s confidant and comedic foil in the romantic comedy film "My Best Friend’s Wedding."
  • D. George Morrow
    George Morrow was an American jazz double bassist best known for his work with the Clifford Brown–Max Roach Quintet and numerous hard bop recordings in the 1950s.
  • E. George Morrow
    George Morrow was an American computer engineer and entrepreneur known for his influential work on S-100 bus computers and contributions to the early personal computer industry.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8dc0f881908a3da736d8947ce1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c66449081909484b945b6b97643 completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:55 p.m.