Triple

T23504530
Position Surface form Disambiguated ID Type / Status
Subject Jalal Talabani E572243 entity
Predicate spouse P13 FINISHED
Object Hero Ibrahim Ahmed 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: Hero Ibrahim Ahmed | Statement: [Jalal Talabani, spouse, Hero Ibrahim Ahmed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hero Ibrahim Ahmed
Context triple: [Jalal Talabani, spouse, Hero Ibrahim Ahmed]
  • A. Hero Ibrahim Ahmed chosen
    Hero Ibrahim Ahmed is a prominent Kurdish politician, writer, and influential figure in Iraqi Kurdistan, known especially for her leadership role within the Patriotic Union of Kurdistan and her advocacy on social and cultural issues.
  • B. Omar
    Omar is a critically acclaimed Palestinian thriller film directed by Hany Abu-Assad that explores love, betrayal, and resistance under Israeli occupation.
  • C. Omar
    Omar is a municipality located in the province of Sulu in the Philippines.
  • D. Omar
    Omar is a masculine given name of Arabic origin meaning "flourishing" or "long-lived," borne by numerous historical and contemporary figures worldwide.
  • E. Omar
    Omar is a minor biblical figure listed in the Book of Genesis as one of the descendants of Esau.
  • 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fedbec8190b183661edaba4cd4 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:07 p.m.