Triple

T17116814
Position Surface form Disambiguated ID Type / Status
Subject Abu Salih Mansur I E415359 entity
Predicate title P38 FINISHED
Object amir E1240826 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: amir | Statement: [Abu Salih Mansur I, title, amir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: amir
Context triple: [Abu Salih Mansur I, title, amir]
  • A. amir chosen
    An amir is a high-ranking political or military leader, often serving as a commander or governor within Islamic and especially medieval Seljuk administrative structures.
  • B. Paul Amir
    Paul Amir is a philanthropist and art patron known for his major support of cultural and architectural projects, including the Herta and Paul Amir Building.
  • C. Azmi
    Azmi is an Indian family name notably associated with acclaimed actress and activist Shabana Azmi.
  • D. Amin
    Amin is a given name notably borne by Haj Amin al-Husseini, the controversial Palestinian Arab nationalist and Muslim leader active in the early to mid-20th century.
  • E. Amini
    Amini is a small inhabited coral island in India’s Lakshadweep archipelago, known for its coconut cultivation, coir products, and traditional craftsmanship.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80660048190832d8f91415dd7d7 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a0b69108190ba3ba6ba7f8d3935 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.