Triple

T15822364
Position Surface form Disambiguated ID Type / Status
Subject Beauty Marks E383642 entity
Predicate hasGuestPerformer P10756 FINISHED
Object Tekno E298317 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: Tekno | Statement: [Beauty Marks, hasGuestPerformer, Tekno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tekno
Context triple: [Beauty Marks, hasGuestPerformer, Tekno]
  • A. Tekno chosen
    Tekno is a Nigerian singer, songwriter, and record producer known for his Afrobeat and Afropop hit songs and dance-oriented sound.
  • B. Tehkal
    Tehkal is a neighborhood and administrative area within the city of Peshawar in Pakistan’s Khyber Pakhtunkhwa province.
  • C. Tech
    The Tech is a river in southern France that flows through the Pyrénées-Orientales in the Occitanie region before emptying into the Mediterranean Sea.
  • D. Tech
    Tech is a highly intelligent and tech-savvy clone commando in Star Wars: The Bad Batch, known for his analytical mind, technical expertise, and role as the squad’s systems and communications specialist.
  • E. Technologic
    "Technologic" is a 2005 electronic dance track by French duo Daft Punk, known for its robotic vocals listing technology-related commands over a minimalist, catchy beat.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a887d881908f74a1fcba390727 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99999c2c8190b1838aed40e12061 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.