Triple

T16890867
Position Surface form Disambiguated ID Type / Status
Subject Ibrahim of Ghazni E424166 entity
Predicate givenName P17 FINISHED
Object Ibrahim E586918 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: Ibrahim | Statement: [Ibrahim of Ghazni, givenName, Ibrahim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibrahim
Context triple: [Ibrahim of Ghazni, givenName, Ibrahim]
  • A. Ibrahim
    Ibrahim is the name used in Islamic tradition for the prophet Abraham, a central patriarchal figure revered in Judaism, Christianity, and Islam.
  • B. Ibrahim chosen
    Ibrahim was a son of Orhan Gazi, the second ruler of the early Ottoman state.
  • C. Mohamed
    Mohamed is a common Arabic male given name, widely used across the Muslim world in honor of the Prophet Muhammad.
  • D. Ismail
    Ismail is a prophet in Islamic tradition, revered as a son of Ibrahim (Abraham) and an exemplar of patience and obedience to God.
  • E. Ishaq
    Ishaq is the Arabic form of the biblical name Isaac, commonly used in Muslim and Arabic-speaking communities.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc473d4819090cfea374ef5ca49 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2c1eee48190bc906e658d7729a4 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.