Triple

T16368045
Position Surface form Disambiguated ID Type / Status
Subject Mercury E397485 entity
Predicate associatedPlanet P52435 FINISHED
Object Mercury (planet) E18768 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: Mercury (planet) | Statement: [Mercury, associatedPlanet, Mercury (planet)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercury (planet)
Context triple: [Mercury, associatedPlanet, Mercury (planet)]
  • A. Mercuri
    Mercuri is the surname of Brazilian singer, songwriter, and performer Daniela Mercury, a prominent figure in axé and pop music.
  • B. Mercury
    Mercury was an American automobile marque of the Ford Motor Company known for producing mid-priced cars positioned between Ford and Lincoln.
  • C. Mercury
    Mercury is the Roman god of commerce, communication, and travel, often depicted as a swift messenger of the gods.
  • D. Mercury
    Mercury is the nickname of former American football running back Eugene "Mercury" Morris, best known for his role on the undefeated 1972 Miami Dolphins team.
  • E. Mercury chosen
    Mercury is the smallest and innermost planet in our Solar System, known for its extreme temperature variations and heavily cratered surface.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3f0694819097faa1c1447a9e97 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc29f088190ba5d69ff3c12a251 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.