Triple

T4003194
Position Surface form Disambiguated ID Type / Status
Subject Mike Brown E89461 entity
Predicate name P16 FINISHED
Object Mike Brown unclear NED1 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: Mike Brown | Statement: [Mike Brown, name, Mike Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Brown
Context triple: [Mike Brown, name, Mike Brown]
  • A. Mike Brown
    Mike Brown is an American basketball coach best known for leading the Cleveland Cavaliers during the early years of LeBron James’s career and for his defensive-minded coaching style.
  • B. Mike Brown
    Mike Brown is an American football executive best known as the longtime owner and de facto general manager of the NFL’s Cincinnati Bengals.
  • C. Kevin Griswold
    Kevin Griswold is a character in the 2015 comedy film "Vacation," appearing as a member of the extended Griswold family in the franchise’s reboot.
  • D. Michael Dunkley
    Michael Dunkley is a Bermudian politician and businessman who served as Premier of Bermuda and leader of the One Bermuda Alliance.
  • E. Greg Laughlin
    Greg Laughlin is an American politician and attorney who served as a U.S. Representative from Texas in the 1990s, notably switching from the Democratic to the Republican Party during his tenure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa5de98c8190a95b21a75fffdef3 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c61bad48190a5115dbd4a3457d6 completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:34 p.m.