Triple

T20010490
Position Surface form Disambiguated ID Type / Status
Subject Maccabean forces E494575 entity
Predicate enemyCommander P1698 FINISHED
Object Nicanor NE NERFINISHED

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: Nicanor | Statement: [Maccabean forces, enemyCommander, Nicanor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicanor
Context triple: [Maccabean forces, enemyCommander, Nicanor]
  • A. Nicanor
    Nicanor was one of the seven early Christian deacons chosen by the apostles in Jerusalem to assist with the distribution of aid and service to the community.
  • B. Nicanor chosen
    Nicanor was a Seleucid military commander known for leading royal forces against the Jewish rebels during the Maccabean Revolt in the 2nd century BCE.
  • C. Nicanor
    Nicanor is an ancient Greek scholar known for his critical and exegetical work on Homeric poetry, particularly the Iliad.
  • D. Nicanor
    Nicanor was a military figure known for his role in the Siege of Miletus during the Greco-Persian conflicts.
  • E. Alpidio
    Alpidio is a masculine given name of Latin origin, used primarily in Spanish-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662362df48190abf16129eea39985 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:33 p.m.