Triple

T9044279
Position Surface form Disambiguated ID Type / Status
Subject Slim Whitman E216715 entity
Predicate givenName P17 FINISHED
Object Ottis E557296 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: Ottis | Statement: [Slim Whitman, givenName, Ottis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ottis
Context triple: [Slim Whitman, givenName, Ottis]
  • A. Ottis chosen
    Ottis is a masculine given name most notably borne by former NFL running back Ottis Anderson.
  • B. Rennie
    Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
  • C. Hunte
    The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
  • D. Odell
    Odell is the given name of Odell Beckham Jr., a prominent American football wide receiver known for his spectacular catches and NFL career.
  • E. Scoggins
    Scoggins is a minor supporting character in the 1999 science fiction horror film "Deep Blue Sea," which centers on genetically enhanced sharks in an underwater research facility.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b137cec8190bd1b812c10d9542a completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeba4c5f48190b7fc85f2137dd93e completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:09 p.m.