Triple

T9564863
Position Surface form Disambiguated ID Type / Status
Subject Planetary Union E230764 entity
Predicate hasNotableOfficer P59056 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: [Planetary Union, hasNotableOfficer, Gordon Malloy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gordon Malloy
Context triple: [Planetary Union, hasNotableOfficer, 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996a01b081908e2782f41520f73d completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d28194f6e88190932efe607088394a completed April 5, 2026, 3:36 p.m.
Created at: March 30, 2026, 8:04 p.m.