Triple

T7342667
Position Surface form Disambiguated ID Type / Status
Subject The King & I E169294 entity
Predicate producer P490 FINISHED
Object Salaam Remi E65202 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: Salaam Remi | Statement: [The King & I, producer, Salaam Remi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salaam Remi
Context triple: [The King & I, producer, Salaam Remi]
  • A. Salaam Remi chosen
    Salaam Remi is an American record producer and songwriter best known for his work with artists like Amy Winehouse, Nas, and the Fugees, blending hip-hop, reggae, and soul influences.
  • B. Sallah
    Sallah is a jovial, resourceful Egyptian excavator and close ally of Indiana Jones who helps him navigate dangerous archaeological adventures.
  • C. Remy
    Remy is the ambitious, food-loving rat and main protagonist of Pixar’s animated film "Ratatouille," known for his exceptional culinary talent and dream of becoming a chef in Paris.
  • D. Tammam Salam
    Tammam Salam is a Lebanese politician who served as Prime Minister of Lebanon and has long been a prominent figure in the country’s political life.
  • E. Rafi
    Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0db2db8819088c4bed5d65571f6 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa867b7881908590ca1ea195b1b5 completed March 28, 2026, 3:57 p.m.
Created at: March 27, 2026, 3:04 p.m.