Triple

T11177062
Position Surface form Disambiguated ID Type / Status
Subject Lockheed Electra 10E E264437 entity
Predicate aircraftSeries P6094 FINISHED
Object Electra E9702 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: Electra | Statement: [Lockheed Electra 10E, aircraftSeries, Electra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Electra
Context triple: [Lockheed Electra 10E, aircraftSeries, Electra]
  • A. Electra chosen
    Electra is a figure in Greek mythology, traditionally known as one of the Pleiades and a daughter of the Titan Atlas.
  • B. Electra
    Electra is a figure from Greek mythology, best known as the daughter of Agamemnon and Clytemnestra who helps avenge her father's murder.
  • C. Electra (Oceanid)
    Electra is an Oceanid nymph from Greek mythology, one of the many water-associated daughters of the Titans Oceanus and Tethys.
  • D. Iphigene
    Iphigene Ochs Sulzberger was an American newspaper heiress, civic leader, and influential figure in the family that owned and published The New York Times.
  • E. Elektra
    Elektra is a 2005 superhero film based on the Marvel Comics character, serving as a spin-off from the 2003 movie Daredevil.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8987e1081909b28a0bdb866beae completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4838f19388190af6fde7d4275ce2a completed April 19, 2026, 7:26 a.m.
Created at: April 8, 2026, 9:29 p.m.