Triple

T16623995
Position Surface form Disambiguated ID Type / Status
Subject Martian Manhunter (DCAU) E403898 entity
Predicate species P87 FINISHED
Object Green Martian E447251 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: Green Martian | Statement: [Martian Manhunter (DCAU), species, Green Martian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Martian
Context triple: [Martian Manhunter (DCAU), species, Green Martian]
  • A. Marțian
    Marțian is a Romanian surname most notably associated with individuals such as politician Dan Marțian.
  • B. Martians
    Martians are the technologically advanced, hostile alien invaders from H. G. Wells’s science fiction novel "The War of the Worlds."
  • C. Martians chosen
    Martians are a powerful, shape-shifting alien species from the planet Mars in DC Comics, most famously represented by the superhero Martian Manhunter.
  • D. My Favorite Martian
    My Favorite Martian is a 1960s American television sitcom about a stranded Martian living incognito with a human reporter, blending science fiction and comedy.
  • E. Mars Attacks!
    Mars Attacks! is a 1996 science fiction comedy film directed by Tim Burton that parodies alien invasion movies with an ensemble cast and over-the-top, campy humor.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37550ee308190931fd50aeebe1e7e completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db866e48190886aec7658835543 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.