Triple

T5013317
Position Surface form Disambiguated ID Type / Status
Subject Quebec Bulldogs E112678 entity
Predicate captain P884 FINISHED
Object Joe Malone E144827 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: Joe Malone | Statement: [Quebec Bulldogs, captain, Joe Malone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Malone
Context triple: [Quebec Bulldogs, captain, Joe Malone]
  • A. Joe Malone chosen
    Joe Malone was a Canadian professional ice hockey forward and early star of the sport, renowned as one of the most prolific goal scorers of the pre-NHL era.
  • B. Jim Malone
    Jim Malone is a tough, streetwise Irish-American beat cop in 1930s Chicago who becomes Eliot Ness’s seasoned mentor and ally in the fight against Al Capone’s criminal empire in *The Untouchables*.
  • C. Matthew Dryer
    Matthew Dryer is a linguist renowned for his work in language typology and word order correlations across the world’s languages.
  • D. Matthew Talbot
    Matthew Talbot was an early 19th-century American politician from Georgia who briefly served as the state's governor and was influential enough that Talbot County was named in his honor.
  • E. Neal Marlens
    Neal Marlens is an American television producer and writer best known for co-creating the acclaimed coming-of-age series "The Wonder Years."
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7310c5b08190a5c9ab0f9fe9569f completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c5b09688190a0bc602396042e3f completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:35 p.m.