Triple

T22186259
Position Surface form Disambiguated ID Type / Status
Subject Salii E548304 entity
Predicate primaryDeity P7648 FINISHED
Object Mars 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: Mars | Statement: [Salii, primaryDeity, Mars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mars
Context triple: [Salii, primaryDeity, Mars]
  • A. Mars
    Mars is the fourth planet from the Sun, a cold, desert-like world often called the "Red Planet" due to its iron-rich surface and a prime target in the search for past or present extraterrestrial life.
  • B. Mars chosen
    Mars is the Roman god of war, a central deity in Roman religion associated with military power, agriculture, and the fatherhood of Rome’s legendary founders.
  • C. Mars
    Mars is a science fiction television series produced by Imagine Television that blends scripted drama with documentary-style elements to depict humanity’s efforts to colonize the Red Planet.
  • D. Mars
    Mars is an American hip hop record producer known for his work on various rap projects, including contributions to major studio albums.
  • E. Mars
    Mars is a major global manufacturer of confectionery, pet care products, and other food items, known for brands like M&M’s, Snickers, and Pedigree.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa8f178819094d1556df5aee5b9 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.