Triple

T16100938
Position Surface form Disambiguated ID Type / Status
Subject Ransom E390616 entity
Predicate screenwriter P2831 FINISHED
Object Alexander Ignon E390616 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: Alexander Ignon | Statement: [Ransom, screenwriter, Alexander Ignon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Ignon
Context triple: [Ransom, screenwriter, Alexander Ignon]
  • A. Alexander Ignon chosen
    Alexander Ignon is an American screenwriter known for writing major Hollywood films such as "Ransom" and "The Bodyguard."
  • B. Alexander Ragoza
    Alexander Ragoza was a Russian Imperial Army general best known for commanding forces on the Eastern Front during World War I, including major operations against the Central Powers.
  • C. Alexander Graven
    Alexander Graven was a Swiss mountaineer known for participating in the historic 1956 Swiss expedition that successfully climbed Mount Everest and Lhotse.
  • D. Alexander Kutepov
    Alexander Kutepov was a prominent Russian Imperial and White Army general who became a leading figure in the anti-Bolshevik movement during and after the Russian Civil War.
  • E. Alexander Dam
    Alexander Dam is a hydroelectric power facility located on the Nipigon River in Ontario, Canada.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff68686481909517eed4266729ca completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9d6140819087f9b3dc549c4aec completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.