Triple

T7194567
Position Surface form Disambiguated ID Type / Status
Subject Gomer’s mountain E168578 entity
Predicate hasComponent P35 FINISHED
Object Gomer E319257 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: Gomer | Statement: [Gomer’s mountain, hasComponent, Gomer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gomer
Context triple: [Gomer’s mountain, hasComponent, Gomer]
  • A. Gomer chosen
    Gomer is a biblical figure traditionally regarded as a descendant of Japheth and an ancestral nation mentioned in Old Testament prophetic writings.
  • B. Gus
    Gus is a character from T. S. Eliot's "Old Possum's Book of Practical Cats," depicted as an elderly, once-famous theater cat reflecting nostalgically on his past glory.
  • C. Gus
    Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
  • D. Gus
    Gus is a character in the 1951 American drama film "Journey into Light," which follows a troubled minister seeking redemption in Los Angeles.
  • E. Gus
    Gus is the lovable, chubby mouse in Disney's 1950 animated film "Cinderella," known for his comic relief and loyal friendship to Cinderella.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e9050164819081fd6a11d10f9833 completed March 27, 2026, 8:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf9b8ff48190a561035f754922e9 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:51 p.m.