Triple

T2987006
Position Surface form Disambiguated ID Type / Status
Subject Colorado Rush E80648 entity
Predicate notableAlumni P51 FINISHED
Object Mallory Pugh E363718 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: Mallory Pugh | Statement: [Colorado Rush, notableAlumni, Mallory Pugh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mallory Pugh
Context triple: [Colorado Rush, notableAlumni, Mallory Pugh]
  • A. Mallory Pugh chosen
    Mallory Pugh is an American professional soccer player and U.S. women’s national team forward known for her speed, creativity, and impact at both club and international levels.
  • B. Lacey Pemberton
    Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
  • C. Hayley McFarland
    Hayley McFarland is an American actress best known for her roles in horror and drama projects, including a supporting role in the film "The Conjuring" and appearances on television series such as "Lie to Me."
  • D. Sloane Murray
    Sloane Murray is a child voice actress best known for portraying the younger version of Dory in Pixar's animated film "Finding Dory."
  • E. Madelyn Pugh
    Madelyn Pugh was an American television writer best known as one of the pioneering female comedy writers in Hollywood and a key creative force behind classic sitcoms.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c88f608190bf734e0b744bf3d1 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e46453c819084e459311ac0cdd9 completed March 13, 2026, 3:02 a.m.
Created at: March 8, 2026, 2:59 p.m.