Triple

T12299277
Position Surface form Disambiguated ID Type / Status
Subject Lai Mohammed E293174 entity
Predicate name P16 FINISHED
Object Lai Mohammed E293174 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: Lai Mohammed | Statement: [Lai Mohammed, name, Lai Mohammed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lai Mohammed
Context triple: [Lai Mohammed, name, Lai Mohammed]
  • A. Lai Mohammed chosen
    Lai Mohammed is a Nigerian lawyer and politician who served as the national publicity secretary of the Action Congress of Nigeria and later as Nigeria’s Minister of Information and Culture.
  • B. Barham Salih
    Barham Salih is an Iraqi Kurdish politician who has served as President of Iraq and previously held senior roles in both the Iraqi federal government and the Kurdistan Regional Government.
  • C. Hassan Ali Khaire
    Hassan Ali Khaire is a Somali politician and former humanitarian and oil executive who served as the Prime Minister of Somalia from 2017 to 2020.
  • D. Ahmed Abdullah
    Ahmed Abdullah is the Afghan interpreter protagonist in the 2023 war film "The Covenant," whose loyalty and bravery drive the story’s central rescue mission.
  • E. Mousa Ghani
    Mousa Ghani is a supporting character in the action film "Rambo III," serving as an Afghan guide and ally to John Rambo during his mission.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93eda55148190b720e479163d36e7 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634667db88190ac1368dc38daac73 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:52 p.m.