Triple

T16468469
Position Surface form Disambiguated ID Type / Status
Subject Audubon High School E399996 entity
Predicate hasAlumnus P51 FINISHED
Object Joe Flacco E76386 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 Flacco | Statement: [Audubon High School, hasAlumnus, Joe Flacco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Flacco
Context triple: [Audubon High School, hasAlumnus, Joe Flacco]
  • A. Joe Flacco chosen
    Joe Flacco is an American NFL quarterback best known for leading the Baltimore Ravens to a Super Bowl championship and earning the game's MVP honors.
  • B. Tyrod Taylor
    Tyrod Taylor is an American football quarterback who has played for multiple NFL teams and is known for his dual-threat ability as both a passer and runner.
  • C. Andy Dalton
    Andy Dalton is an American NFL quarterback best known for his tenure as the longtime starter for the Cincinnati Bengals, where he led multiple playoff appearances.
  • D. Carl Harbaugh
    Carl Harbaugh was an American actor and filmmaker active in the early 20th century, known for his roles in silent films.
  • E. Matt Ryan
    Matt Ryan is a Welsh actor best known for playing the occult detective John Constantine in television and animated adaptations of DC Comics.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dce342081909cad56dc92de13a2 completed April 18, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5914dc81908c3b8cf999ee76a1 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:11 a.m.