Triple

T8963478
Position Surface form Disambiguated ID Type / Status
Subject Robert Gardner E214066 entity
Predicate notableWork P4 FINISHED
Object Ika Hands E739295 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: Ika Hands | Statement: [Robert Gardner, notableWork, Ika Hands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ika Hands
Context triple: [Robert Gardner, notableWork, Ika Hands]
  • A. Ika Hands chosen
    Ika Hands is an ethnographic documentary film by Robert Gardner that portrays the daily life, rituals, and cultural practices of the Ika people of Colombia.
  • B. Handen
    Handen is a suburban district in Stockholm County, Sweden, serving as a commercial and residential hub within the Haninge area.
  • C. The Finger
    The Finger is a character or persona also known as L.O.V.E., likely associated with a creative or entertainment work where this alias is used.
  • D. IKA
    IKA is the three-letter IATA airport code for Tehran Imam Khomeini International Airport, the main international gateway serving Tehran, Iran.
  • E. Iken
    Iken is a village in Suffolk, England, known for its ancient church and association with the Anglo-Saxon saint Botwulf (St Botolph).
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc674b06f08190b2d992674a093592 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9512eec8190963aa68108691f7f completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:01 p.m.