Triple

T17886262
Position Surface form Disambiguated ID Type / Status
Subject Titans Tower E447207 entity
Predicate designerInFiction P106197 FINISHED
Object Cyborg 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: Cyborg | Statement: [Titans Tower, designerInFiction, Cyborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyborg
Context triple: [Titans Tower, designerInFiction, Cyborg]
  • A. Cyborg chosen
    Cyborg is a prominent DC Comics superhero, best known as a technologically enhanced human and key member of teams like the Teen Titans and the Justice League.
  • B. Cyborg
    Cyborg is a 1973 electronic music album by German composer Klaus Schulze, known for its expansive, experimental soundscapes that helped define early ambient and space music.
  • C. Johnny 5
    Johnny 5 is the sentient, wisecracking robot protagonist from the 1980s science-fiction comedy film series "Short Circuit."
  • D. Machine Man
    Machine Man is a Marvel Comics android superhero, also known as X-51 or Aaron Stack, noted for his advanced artificial intelligence and exploration of what it means to be human.
  • E. Alita
    Alita is the cyborg warrior heroine of the cyberpunk manga and film "Alita: Battle Angel," known for her powerful combat abilities and quest for identity in a dystopian future.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c13bd288190a0302010ba4d0532 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.