Triple

T3328131
Position Surface form Disambiguated ID Type / Status
Subject Josh Brolin E69966 entity
Predicate givenName P17 FINISHED
Object Joshua E126068 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: Joshua | Statement: [Josh Brolin, givenName, Joshua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joshua
Context triple: [Josh Brolin, givenName, Joshua]
  • A. Joshua
    Joshua is a book of the Hebrew Bible and Christian Old Testament that narrates the Israelite conquest and settlement of Canaan under the leadership of Joshua.
  • B. Joshua chosen
    Joshua is a masculine given name of Hebrew origin, commonly used in English-speaking countries.
  • C. Yoshua
    Yoshua is a male given name most notably borne by Yoshua Bengio, a pioneering Canadian computer scientist and deep learning researcher.
  • D. Joshua son of Jehozadak
    Joshua son of Jehozadak was the high priest of the Jewish community during the early post-exilic period, serving alongside Zerubbabel in the rebuilding and restoration of worship at the Second Temple in Jerusalem.
  • E. Othniel
    Othniel is a biblical figure regarded as the first judge of Israel, known for delivering the Israelites from oppression in the Book of Judges.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb16f61248190bab10f4ac9e066f7 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7ec9f48190873d90b678713bad completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.