Triple

T2843999
Position Surface form Disambiguated ID Type / Status
Subject Battle of Sidi Rezegh E62537 entity
Predicate commander P1061 FINISHED
Object Alan Cunningham E124485 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: Alan Cunningham | Statement: [Battle of Sidi Rezegh, commander, Alan Cunningham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Cunningham
Context triple: [Battle of Sidi Rezegh, commander, Alan Cunningham]
  • A. Alan Cunningham chosen
    Alan Cunningham was a British Army general best known for leading Eighth Army forces in the North African campaign during World War II.
  • B. Sir Henry Ayers
    Sir Henry Ayers was a 19th-century South Australian politician and long-serving premier after whom the landmark Uluru was historically named "Ayers Rock."
  • C. William Wellington Cairns
    William Wellington Cairns was a 19th-century British colonial administrator who served as Governor of Queensland, after whom the Australian city of Cairns is named.
  • D. Richard Lumsden
    Richard Lumsden is a British actor, writer, and composer known for his work in television, film, and theatre.
  • E. John L. Lumley
    John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1a07508190be35fe85733ddeed completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b108ca2c108190b0a341cf039a82bf completed March 11, 2026, 6:16 a.m.
Created at: March 6, 2026, 10:02 p.m.