Triple

T1671069
Position Surface form Disambiguated ID Type / Status
Subject Abdul Salaam E36125 entity
Predicate name P16 FINISHED
Object Abdul Salaam E36125 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: Abdul Salaam | Statement: [Abdul Salaam, name, Abdul Salaam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abdul Salaam
Context triple: [Abdul Salaam, name, Abdul Salaam]
  • A. Abdul Salaam chosen
    Abdul Salaam is a former American football defensive tackle best known as a member of the New York Jets' famed "New York Sack Exchange" defensive line in the late 1970s and early 1980s.
  • B. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • C. Achmed Abdullah
    Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
  • D. Abdus
    Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
  • E. Abdullah al-Janabi
    Abdullah al-Janabi is a radical Iraqi Sunni cleric and insurgent leader known for his prominent role in organizing resistance against U.S.-led forces in Fallujah during the Iraq War.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62439e48819084e46b2719cdac58 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeac637748190b67ddd9eedc3698d completed March 8, 2026, 9:31 p.m.
Created at: March 4, 2026, 7:29 p.m.