Triple

T9431715
Position Surface form Disambiguated ID Type / Status
Subject Garrett E227391 entity
Predicate hasDiminutive P456 FINISHED
Object Gaz E736159 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: Gaz | Statement: [Garrett, hasDiminutive, Gaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaz
Context triple: [Garrett, hasDiminutive, Gaz]
  • A. Gaz chosen
    Gaz is the down-on-his-luck former steelworker who leads a group of unemployed men to form a striptease act in the British comedy film "The Full Monty."
  • B. GAS
    GAS (GNU Assembler) is the assembler component of the GNU toolchain, used to translate assembly language code into machine code for various computer architectures.
  • C. De Gas
    De Gas is the family name of the French artist Auguste De Gas, associated with the lineage of the renowned painter Edgar Degas.
  • D. Giez
    Giez is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Grandson and close to Lake Neuchâtel.
  • E. Gad
    Gad is a biblical figure, one of the twelve sons of Jacob and the founder of the Israelite tribe that bears his name.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e6059bc8190a7e98aef3caabd0b completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104033c08190a3670b017bd984d5 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:49 p.m.