Triple

T1571761
Position Surface form Disambiguated ID Type / Status
Subject Don Walsh E33555 entity
Predicate name P16 FINISHED
Object Don Walsh E33555 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: Don Walsh | Statement: [Don Walsh, name, Don Walsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Walsh
Context triple: [Don Walsh, name, Don Walsh]
  • A. Don Walsh chosen
    Don Walsh is an American oceanographer and former U.S. Navy officer best known for co-piloting the bathyscaphe Trieste on the first crewed descent to the bottom of the Mariana Trench in 1960.
  • B. Robert Ballard
    Robert Ballard is an American oceanographer and marine archaeologist best known for discovering the wreck of the RMS Titanic and leading numerous deep-sea exploration missions.
  • C. Fred Haise
    Fred Haise is an American astronaut and test pilot best known as the lunar module pilot on the ill-fated Apollo 13 mission.
  • D. Archie Marshek
    Archie Marshek was an American film editor known for his work during Hollywood’s early sound era, including editing the 1932 thriller "The Most Dangerous Game."
  • E. Joseph Vilsmaier
    Joseph Vilsmaier was a German film director and cinematographer known for his historical and war dramas, including the World War II film "Stalingrad."
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908ba6a4081909f75faf470c53d86 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad469474c88190b80d6d7a30c9e19d completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.