Triple

T12859368
Position Surface form Disambiguated ID Type / Status
Subject The Limits of Control E307543 entity
Predicate hasCastMember P2308 FINISHED
Object Hiam Abbass E459868 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: Hiam Abbass | Statement: [The Limits of Control, hasCastMember, Hiam Abbass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiam Abbass
Context triple: [The Limits of Control, hasCastMember, Hiam Abbass]
  • A. Hiam Abbass chosen
    Hiam Abbass is a Palestinian actress and filmmaker known for her powerful performances in international films and television series.
  • B. Makram Khoury
    Makram Khoury is a prominent Palestinian-Israeli actor known for his extensive work in film, television, and theater, and for being one of the most acclaimed Arab actors in Israeli cinema.
  • C. Nabil Elderkin
    Nabil Elderkin is an acclaimed photographer and music video director known for his visually striking work with artists such as Kanye West, Frank Ocean, and John Legend.
  • D. Ayda Sirhan
    Ayda Sirhan is a family member of Munir Sirhan, who is known as the brother of Sirhan Sirhan, the assassin of Robert F. Kennedy.
  • E. Rami Nassar
    Rami Nassar is a technology and innovation leader known for his work in digital strategy, product development, and emerging technologies.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970242bd48190941cbae0315ebc3d completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bac0c1081909217d865aa8bf9a3 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:37 p.m.