Triple

T1332047
Position Surface form Disambiguated ID Type / Status
Subject 2008 MLS Cup E28663 entity
Predicate winningCaptain P19291 FINISHED
Object Frankie Hejduk E166191 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: Frankie Hejduk | Statement: [2008 MLS Cup, winningCaptain, Frankie Hejduk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankie Hejduk
Context triple: [2008 MLS Cup, winningCaptain, Frankie Hejduk]
  • A. Frankie Hejduk chosen
    Frankie Hejduk is a former American soccer defender and midfielder best known for his energetic play with the Columbus Crew and the U.S. national team, including appearances in multiple World Cups.
  • B. Frankie Ballenbacher
    Frankie Ballenbacher is a central teenage character in the crime drama film "Alpha Dog," involved in the story’s depiction of youth, crime, and moral decline.
  • C. Marvin Jacobs
    Marvin Jacobs was an entrepreneur best known as a founder of the global hospitality and food service company Delaware North.
  • D. Tutty Bomowski
    Tutty Bomowski is the overbearing, tough-loving mother character played by Estelle Getty in the action-comedy film "Stop! Or My Mom Will Shoot."
  • E. Max Hodak
    Max Hodak is an American entrepreneur and technologist best known as the co-founder and former president of Neuralink, a company developing brain–computer interface technology.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c5f86c819098e98b046968954a completed March 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e62007081908dc993492e23dda5 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 7:55 p.m.