Triple

T16135093
Position Surface form Disambiguated ID Type / Status
Subject Al-Shaheed Monument E391502 entity
Predicate architect P184 FINISHED
Object Saman Kamal E391502 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: Saman Kamal | Statement: [Al-Shaheed Monument, architect, Saman Kamal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saman Kamal
Context triple: [Al-Shaheed Monument, architect, Saman Kamal]
  • A. Saman Kamal chosen
    Saman Kamal is an architect best known for designing Baghdad’s iconic Al-Shaheed (Martyr’s) Monument, a major symbol of modern Iraqi architecture.
  • B. Waheed Rahman
    Waheed Rahman is a notable individual significant enough in his community or institution to have a hall named in his honor, reflecting his contributions or legacy.
  • C. Sahib Jamal
    Sahib Jamal was a Mughal noblewoman and consort of Emperor Jahangir, noted as the mother of Prince Parviz Mirza.
  • D. Habib Tanvir
    Habib Tanvir was a renowned Indian playwright, theatre director, and actor celebrated for blending folk traditions with modern political and social themes on stage.
  • E. Kamal Khan
    Kamal Khan is the primary villain and exiled Afghan prince in the James Bond film "Octopussy," known for his role in a nuclear extortion plot against the West.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a04666c819091f36c5a2497d2e7 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b39bbc8190a2cb77a3f0a329fd completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.