Triple

T13550095
Position Surface form Disambiguated ID Type / Status
Subject Veronica Rawlings E323618 entity
Predicate associatedWith P37 FINISHED
Object Jack Mulligan E328104 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: Jack Mulligan | Statement: [Veronica Rawlings, associatedWith, Jack Mulligan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Mulligan
Context triple: [Veronica Rawlings, associatedWith, Jack Mulligan]
  • A. Jack Mulligan chosen
    Jack Mulligan is a corrupt and ambitious Chicago politician who serves as a central antagonist in the heist thriller film "Widows" (2018).
  • B. Joe Mullaney
    Joe Mullaney was a prominent American basketball coach known for his successful stints in college basketball and the ABA, including leading the Kentucky Colonels.
  • C. Dan Mulligan
    Dan Mulligan is a fictional, down-on-his-luck music producer portrayed by Mark Ruffalo in the film "Begin Again."
  • D. Frank McHugh
    Frank McHugh was an American character actor best known for his prolific work in 1930s and 1940s Hollywood films, often playing comic sidekicks and supporting roles.
  • E. William Mullins
    William Mullins was an early 17th-century English colonist and Mayflower passenger, known as the father of fellow passenger Priscilla Mullins.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdcecf481909999a173b32a58cd completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd54f5323c8190aa239bad461b0857 completed May 8, 2026, 3:13 a.m.
Created at: April 9, 2026, 9:46 p.m.