Triple

T13828341
Position Surface form Disambiguated ID Type / Status
Subject Prince Ali E332313 entity
Predicate title P38 FINISHED
Object Prince Ali E332313 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: Prince Ali | Statement: [Prince Ali, title, Prince Ali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Ali
Context triple: [Prince Ali, title, Prince Ali]
  • A. Prince Ali chosen
    Prince Ali is a lively musical number from Disney's animated film "Aladdin," introducing the hero's extravagant royal persona during his grand arrival in Agrabah.
  • B. Prince Ali
    Prince Ali is the former stage name under which Academy Award–winning actor and rapper Mahershala Ali performed earlier in his career.
  • C. Prince Talal bin Muhammad
    Prince Talal bin Muhammad is a Jordanian prince and senior member of the Hashemite royal family who has held various military and diplomatic roles.
  • D. Prince Talal bin Hamzah
    Prince Talal bin Hamzah is a Jordanian royal and son of Prince Hamzah bin Hussein, belonging to the Hashemite family that rules the Hashemite Kingdom of Jordan.
  • E. Prince Faisal
    Prince Faisal is a key Arab leader in the film "Lawrence of Arabia," portrayed as an intelligent and pragmatic prince guiding the Arab Revolt alongside T.E. Lawrence.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02970df88190a1bf35dffd131d9d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8ea22c081909cc34f1030a8589b completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.