Triple

T3820220
Position Surface form Disambiguated ID Type / Status
Subject Mars (TV series) E84352 entity
Predicate setting P1957 FINISHED
Object Mars E20154 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: Mars | Statement: [Mars (TV series), setting, Mars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mars
Context triple: [Mars (TV series), setting, Mars]
  • A. Mars chosen
    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
    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. Terra
    Terra is a sustainability-themed character created as one of the official mascots for Expo 2020 Dubai, symbolizing environmental awareness and ecological responsibility.
  • D. Planá
    Planá is a town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
  • E. Venus
    Venus is the second planet from the Sun, known for its dense, toxic atmosphere, extreme surface temperatures, and bright visibility in Earth's sky.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea61a63c819086e16b89d2ea2157 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb4998248190b4174dd80a8e790c completed March 14, 2026, 6:08 a.m.
Created at: March 9, 2026, 3:17 p.m.