Triple

T10400710
Position Surface form Disambiguated ID Type / Status
Subject Tony Revolori E245137 entity
Predicate notableWork P4 FINISHED
Object Table 19 E569147 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: Table 19 | Statement: [Tony Revolori, notableWork, Table 19]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Table 19
Context triple: [Tony Revolori, notableWork, Table 19]
  • A. Table 19 chosen
    Table 19 is a 2017 American comedy film about a group of mismatched guests seated together at the "random" table at a wedding reception, starring Anna Kendrick.
  • B. The Table
    "The Table" is the English name of Surah Al-Ma'idah, a chapter of the Qur'an that addresses themes of lawful and unlawful food, covenants, and adherence to divine law.
  • C. The Table
    The Table is a distinctive flat-topped volcanic mesa located in Garibaldi Provincial Park in British Columbia, Canada.
  • D. Tababela
    Tababela is a rural parish in the Quito Metropolitan District of Ecuador, known for hosting the city’s main air gateway, Mariscal Sucre International Airport.
  • E. Tabulahan
    Tabulahan is a dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e2f11c8190b30695cba2975544 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbd13c888190b3a79a9aacb5291e completed April 9, 2026, 7:19 p.m.
Created at: April 6, 2026, 12:07 p.m.