Triple

T11036608
Position Surface form Disambiguated ID Type / Status
Subject Alien 3 E260901 entity
Predicate productionDesignBy P184 FINISHED
Object Norman Reynolds E869117 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: Norman Reynolds | Statement: [Alien 3, productionDesignBy, Norman Reynolds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Reynolds
Context triple: [Alien 3, productionDesignBy, Norman Reynolds]
  • A. Norman Reynolds chosen
    Norman Reynolds was a British production designer and art director best known for his Oscar-winning work on the original Star Wars and Raiders of the Lost Ark.
  • B. Norman Riley
    Norman Riley is a distinguished mathematician and fluid dynamicist recognized for his influential contributions to theoretical and applied fluid mechanics.
  • C. Norman Grant
    Norman Grant is a fictional character from the science fiction novel "Space" by James A. Michener.
  • D. Norman Black
    Norman Black is a former American professional basketball player and highly successful coach, best known for his long and decorated career in the Philippine Basketball Association.
  • E. Norman Matson
    Norman Matson was an American writer and screenwriter best known for co-writing the story that inspired the classic 1942 fantasy-comedy film "I Married a Witch."
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e9e3fc8190802195ac9fcb8e28 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4419a91b08190a55c7f874a3df0fe completed April 19, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:25 p.m.