Triple

T20760665
Position Surface form Disambiguated ID Type / Status
Subject Constructicons E510967 entity
Predicate member P10 FINISHED
Object Scavenger NE NERFINISHED

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: Scavenger | Statement: [Constructicons, member, Scavenger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scavenger
Context triple: [Constructicons, member, Scavenger]
  • A. Scavenger
    Scavenger is an album by the American alternative rock band The Walkabouts, known for its atmospheric, roots-influenced sound.
  • B. Scavenger
    Scavenger is a thriller novel by David Morrell that blends high-stakes suspense with a deadly online scavenger hunt.
  • C. Scavenger chosen
    Scavenger is a Constructicon from the Transformers franchise who combines with his teammates to form the giant Decepticon combiner Devastator.
  • D. Scrapper
    Scrapper is a tough, streetwise kid and founding member of DC Comics' Newsboy Legion, often portrayed as the group's scrappy, hot-headed brawler.
  • E. Scrapper
    Scrapper is a Constructicon from the Transformers franchise, known as the team’s leader and chief designer who combines with others to form the giant combiner Devastator.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c248701081908ae49fca933e05f6 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:35 p.m.