Triple

T8832491
Position Surface form Disambiguated ID Type / Status
Subject Miquel Barceló E210178 entity
Predicate birthName P65 FINISHED
Object Miquel Barceló E210178 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: Miquel Barceló | Statement: [Miquel Barceló, birthName, Miquel Barceló]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miquel Barceló
Context triple: [Miquel Barceló, birthName, Miquel Barceló]
  • A. Miquel Barceló chosen
    Miquel Barceló is a renowned contemporary Spanish painter and sculptor known for his experimental techniques and large-scale works, including major public art commissions.
  • B. Antoni Muntadas
    Antoni Muntadas is a Spanish multidisciplinary artist known for his critical explorations of media, power, and public space through conceptual and installation art.
  • C. Juan Dalmau
    Juan Dalmau is a Puerto Rican lawyer and politician best known as a leading figure and former gubernatorial candidate of the Puerto Rican Independence Party.
  • D. Adrià Puigdomènech Badia
    Adrià Puigdomènech Badia is a researcher and contributor in the field of computer science, known for work related to the A3C (Asynchronous Advantage Actor-Critic) reinforcement learning algorithm.
  • E. Joan Bruna
    Joan Bruna is a mathematician and computer scientist known for his foundational work in theoretical deep learning, including convolutional architectures and scattering networks.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc605005788190a4df1fe317f3056a completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa069d7488190ade4caa15fa83cd9 completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:47 p.m.