Triple

T15165897
Position Surface form Disambiguated ID Type / Status
Subject Tortoise E362339 entity
Predicate album P1995 FINISHED
Object Tortoise E362339 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: Tortoise | Statement: [Tortoise, album, Tortoise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tortoise
Context triple: [Tortoise, album, Tortoise]
  • A. Tortoise chosen
    Tortoise is an influential American post-rock band known for its experimental, genre-blending instrumental compositions and pioneering role in the 1990s Chicago music scene.
  • B. Turtle
    Turtle is a laid-back, loyal friend and driver in the TV series "Entourage," known for his comic relief and eventual growth into a more ambitious, entrepreneurial character.
  • C. Toby Tortoise
    Toby Tortoise is a slow but clever cartoon tortoise best known as the underdog who outsmarts the overconfident hare in Disney’s adaptation of "The Tortoise and the Hare."
  • D. Želva
    Želva is a small town in Lithuania known as the birthplace of Nobel Prize–winning chemist and crystallographer Aaron Klug.
  • E. Jonathan the tortoise
    Jonathan the tortoise is a Seychelles giant tortoise believed to be the world’s oldest known living land animal.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064c6244819085daf8e1eafdf3f2 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd27f2f481909dc26889c973932e completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:08 a.m.