Triple

T11329336
Position Surface form Disambiguated ID Type / Status
Subject Abominable E268300 entity
Predicate voiceCastMember P9616 FINISHED
Object Albert Tsai E608636 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: Albert Tsai | Statement: [Abominable, voiceCastMember, Albert Tsai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Tsai
Context triple: [Abominable, voiceCastMember, Albert Tsai]
  • A. Albert Tsai chosen
    Albert Tsai is an American child actor known for his comedic television roles, including his breakout performance on the sitcom "Trophy Wife."
  • B. Kuo-Chen Huang
    Kuo-Chen Huang was a physicist whose work on electron–phonon coupling in solids led to the formulation of the Huang–Rhys factor in solid-state spectroscopy.
  • C. Kenneth Hsu
    Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
  • D. Wilson C. Hsieh
    Wilson C. Hsieh is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
  • E. Paul Jen-kuei Li
    Paul Jen-kuei Li is a Taiwanese linguist renowned for his work on Austronesian historical linguistics and the reconstruction of Proto-Austronesian.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e330008190b75490efde01dc59 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5261770ac8190b8fc7e2099aa8ace completed April 19, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:32 p.m.