Triple

T3393913
Position Surface form Disambiguated ID Type / Status
Subject Mark Gastineau E71482 entity
Predicate teammate P2649 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: [Mark Gastineau, teammate, Abdul Salaam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abdul Salaam
Context triple: [Mark Gastineau, teammate, 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 person known primarily as the sibling of Murad Mirza.
  • C. 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.
  • D. Achmed Abdullah
    Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
  • E. Sallah
    Sallah is a jovial, resourceful Egyptian excavator and close ally of Indiana Jones who helps him navigate dangerous archaeological adventures.
  • 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb853746c8190bfa1447e6ebbefb3 completed March 8, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bc8a75c8190ab4f652272d33576 completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:14 p.m.