Triple

T15926906
Position Surface form Disambiguated ID Type / Status
Subject Mahershalalhashbaz Ali E386225 entity
Predicate spouse P13 FINISHED
Object Amatus Sami-Karim E386235 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: Amatus Sami-Karim | Statement: [Mahershalalhashbaz Ali, spouse, Amatus Sami-Karim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amatus Sami-Karim
Context triple: [Mahershalalhashbaz Ali, spouse, Amatus Sami-Karim]
  • A. Amatus Sami-Karim chosen
    Amatus Sami-Karim is an American artist and composer known for her experimental, socially conscious work in theater, film, and music, as well as her marriage to actor Mahershala Ali.
  • B. Karim Hussain
    Karim Hussain is a Canadian cinematographer and filmmaker known for his visually distinctive work on genre and horror films.
  • C. Karim
    Karim is a French professional footballer widely recognized as one of the most prolific strikers of his generation.
  • D. Karim
    Karim is a surname most prominently associated with Jawed Karim, the computer scientist and entrepreneur who co-founded YouTube.
  • E. Karim
    Karim is the birth name of Moroccan-American rapper and producer French Montana.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156866de48190a744e8dcaa0c66f1 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b0833081909668c042234b5b75 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.