Triple

T5885056
Position Surface form Disambiguated ID Type / Status
Subject Dolores Solitano E130840 entity
Predicate familyName P18 FINISHED
Object Solitano E545343 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: Solitano | Statement: [Dolores Solitano, familyName, Solitano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solitano
Context triple: [Dolores Solitano, familyName, Solitano]
  • A. Solitano chosen
    Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
  • B. Lugo
    Lugo is a historic city in northwestern Spain known for its remarkably well-preserved Roman walls, a UNESCO World Heritage Site.
  • C. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • D. Logudoro
    Logudoro is a historical-cultural region in northern Sardinia known for its distinctive Sardinian dialect, medieval heritage, and rural landscapes.
  • E. Belmonte
    Belmonte is a historic town in Portugal known for its medieval castle and strong Jewish heritage, located in the country's Centro Region.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0367743508190bae211e9ce8f9690 completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b13839f48190b23f22d5317eb571 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:57 p.m.