Triple

T7560224
Position Surface form Disambiguated ID Type / Status
Subject Old Wounds E178774 entity
Predicate featuresCharacter P626 FINISHED
Object Gordon Malloy E134920 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: Gordon Malloy | Statement: [Old Wounds, featuresCharacter, Gordon Malloy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gordon Malloy
Context triple: [Old Wounds, featuresCharacter, Gordon Malloy]
  • A. Gordon Malloy chosen
    Gordon Malloy is a wisecracking, skilled helmsman and loyal crew member aboard the exploratory spaceship in the sci-fi comedy-drama series "The Orville."
  • B. Gordon Gray
    Gordon Gray was an American government official and national security advisor who held several high-level posts under Presidents Truman and Eisenhower, including roles in defense and intelligence policy.
  • C. Gordon Gray
    Gordon Gray is an American film producer known for inspirational sports dramas and family-oriented movies such as "The Rookie" and "Miracle."
  • D. Gordon Mitchell
    Gordon Mitchell is the son of renowned British aeronautical engineer R. J. Mitchell, designer of the Supermarine Spitfire.
  • E. Gordon Rollings
    Gordon Rollings was a British character actor known for his supporting roles in film and television during the mid-20th century.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8dd96488190b4cca25ae8f7f95c completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8683978b48190971b4c38fd83d3cc completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:50 p.m.