Triple

T23481467
Position Surface form Disambiguated ID Type / Status
Subject The Morning After E570416 entity
Predicate composer P1361 FINISHED
Object Al Kasha 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: Al Kasha | Statement: [The Morning After, composer, Al Kasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Kasha
Context triple: [The Morning After, composer, Al Kasha]
  • A. Al Kasha chosen
    Al Kasha was an American songwriter and lyricist best known for his Academy Award–winning work on popular film songs in the 1970s.
  • B. Sharaabi
    Sharaabi is a 1984 Hindi-language musical drama film, best known for its hit soundtrack and emotional story of a wealthy alcoholic heir, starring Amitabh Bachchan and directed by Prakash Mehra.
  • C. Al Ghanama
    Al Ghanama is a subtribe within the larger Shammar tribal confederation, a prominent Arab tribe historically rooted in the Arabian Peninsula and surrounding regions.
  • D. Mashaal
    Mashaal is a 1984 Hindi drama film best known for its powerful performances, including a memorable role by veteran actor Amrish Puri.
  • E. Ish al-Warwar
    Ish al-Warwar is a hillside neighborhood of Damascus, Syria, situated on the slopes of Mount Qasioun and known for its dense informal housing and strategic overlook of the city.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a75002008190b02fbffd94e5e8b1 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.