Triple

T7469882
Position Surface form Disambiguated ID Type / Status
Subject Hazard Stevens E176474 entity
Predicate givenName P17 FINISHED
Object Hazard E160520 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: Hazard | Statement: [Hazard Stevens, givenName, Hazard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hazard
Context triple: [Hazard Stevens, givenName, Hazard]
  • A. Hazard chosen
    Hazard is the middle name of Oliver Hazard Perry, the famed U.S. naval commander known for his victory in the Battle of Lake Erie during the War of 1812.
  • B. Peril
    Peril is a nonfiction political book by journalists Bob Woodward and Robert Costa that chronicles the tumultuous final months of the Trump administration and the 2020 presidential transition.
  • C. Hazard Zet Forward
    Hazard Zet Forward is the Latin motto of Seton Hall University, expressing a spirit of perseverance and forward progress.
  • D. Risque
    "Risque" is a 1979 disco and R&B album by Chic, widely regarded as one of the genre’s landmark releases.
  • E. On Dangerous Ground
    On Dangerous Ground is a fast-paced political thriller novel by Jack Higgins involving high-stakes espionage and international intrigue.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f845e081908117783ff1e63e23 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8347b36388190989d2bcbe3f747bf completed March 28, 2026, 8:05 p.m.
Created at: March 27, 2026, 3:41 p.m.