Triple

T4991104
Position Surface form Disambiguated ID Type / Status
Subject Syed Ameer Ali E112130 entity
Predicate givenName P17 FINISHED
Object Ameer E30384 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: Ameer | Statement: [Syed Ameer Ali, givenName, Ameer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ameer
Context triple: [Syed Ameer Ali, givenName, Ameer]
  • A. Entissar Amer
    Entissar Amer is the First Lady of Egypt and the wife of President Abdel Fattah el-Sisi.
  • B. Amri
    Amri is an archaeological site in present-day Pakistan associated with the early phases of the Indus Valley Civilization.
  • C. Maharraqa
    Maharraqa was an ancient Nubian settlement in Lower Nubia, near the Nile in what is now southern Egypt or northern Sudan, notable for its archaeological remains including a Roman-period temple.
  • D. Amr chosen
    Amr is a common Arabic male given name, often associated with historical and contemporary figures across the Arab world.
  • E. Beni-Amir
    Beni-Amir is a subgroup of the Beja people, an Afro-Asiatic ethnic group traditionally inhabiting regions of northeastern Africa such as Sudan and Eritrea.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd728141d48190a0713e6d33c50fb6 completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a282dd08190a29b92e8e825a3bb completed March 21, 2026, 12:08 p.m.
Created at: March 20, 2026, 1:34 p.m.