Triple

T4626205
Position Surface form Disambiguated ID Type / Status
Subject The Score E101102 entity
Predicate storyBy P1955 FINISHED
Object Kario Salem E456433 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: Kario Salem | Statement: [The Score, storyBy, Kario Salem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kario Salem
Context triple: [The Score, storyBy, Kario Salem]
  • A. Kario Salem chosen
    Kario Salem is an American screenwriter and actor best known for his work on crime and drama films and television projects.
  • B. Nabil Elaraby
    Nabil Elaraby is an Egyptian diplomat and jurist who has served in prominent international roles, including leadership within the Arab League and representation at the United Nations.
  • C. Ismail Elfath
    Ismail Elfath is a prominent American soccer referee who regularly officiates high-profile Major League Soccer matches and international competitions.
  • D. Salah Salem
    Salah Salem was an Egyptian military officer and politician who played a prominent role in the 1952 revolution and the early years of Gamal Abdel Nasser’s rule.
  • E. Eli Shukron
    Eli Shukron is an Israeli archaeologist known for his extensive excavations and discoveries in ancient Jerusalem, particularly in the City of David.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a0a7b588190bc6552ee5babb198 completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0360f7548190b4d1c2e0e53985e8 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:13 p.m.