Triple

T14552158
Position Surface form Disambiguated ID Type / Status
Subject David Duchovny E341443 entity
Predicate notableWork P4 FINISHED
Object Aquarius E1064921 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: Aquarius | Statement: [David Duchovny, notableWork, Aquarius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aquarius
Context triple: [David Duchovny, notableWork, Aquarius]
  • A. Aquarius
    Aquarius is a prominent zodiac constellation in the southern sky, traditionally depicted as a water-bearer pouring water.
  • B. Aquarius
    Aquarius is a sports drink brand owned by The Coca-Cola Company, popular in various international markets as a hydrating beverage for active consumers.
  • C. Aquarius
    Aquarius is a notable vehicle associated with the LEM project, recognized for its role in advanced lunar exploration and mission support.
  • D. Aquarius
    "Aquarius" is a famous song from the 1967 rock musical *Hair*, widely recognized for its association with the counterculture movement and the astrological "Age of Aquarius."
  • E. Aquarius chosen
    Aquarius is the critically acclaimed debut studio album by American singer Tinashe, blending R&B, pop, and electronic influences.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab7d698819085fd81d7b6f96317 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.