Triple

T17360892
Position Surface form Disambiguated ID Type / Status
Subject Dig Your Own Hole E422062 entity
Predicate hasPart P35 FINISHED
Object Piku E670885 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: Piku | Statement: [Dig Your Own Hole, hasPart, Piku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piku
Context triple: [Dig Your Own Hole, hasPart, Piku]
  • A. Piku chosen
    Piku is a 2015 Indian comedy-drama film centered on the relationship between a headstrong daughter and her aging, hypochondriac father, featuring a notable performance by Amitabh Bachchan.
  • B. Pipikoro
    Pipikoro is an Austronesian language spoken in Central Sulawesi, Indonesia, known locally as an alternate name for the Uma language.
  • C. Pinukpuk
    Pinukpuk is a rural municipality in the province of Kalinga in the Philippines, known for its mountainous terrain and predominantly indigenous communities.
  • D. Pichatur
    Pichatur is a town and mandal in the Tirupati district of Andhra Pradesh, India, known for its rural setting and administrative role in the region.
  • E. Piikani
    Piikani are an Indigenous people of the Blackfoot Confederacy traditionally based in the northern Great Plains of North America.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4cacd881909fd722068b019f25 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195609d988190b7a70f8eabf75eaa completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.