Triple

T21944037
Position Surface form Disambiguated ID Type / Status
Subject The Lunchbox E541890 entity
Predicate hasCharacter P2308 FINISHED
Object Shaikh 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: Shaikh | Statement: [The Lunchbox, hasCharacter, Shaikh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaikh
Context triple: [The Lunchbox, hasCharacter, Shaikh]
  • A. Sheikh
    Sheikh is an honorific title in Arabic-speaking and Islamic cultures denoting a leader, elder, or person of high social, religious, or political status.
  • B. Sheikh Shams
    Sheikh Shams is a central holy figure in Yazidism, often associated with the sun and revered as one of the key divine beings in the Yazidi religious tradition.
  • C. Sheikh Taba
    Sheikh Taba is a town located in the Akkar Governorate of northern Lebanon, near the border with Syria.
  • D. al-Shaykh chosen
    al-Shaykh is an Arabic surname notably borne by Lebanese novelist and short story writer Hanan al-Shaykh.
  • E. Shaikh Mubarak Nagori
    Shaikh Mubarak Nagori was a prominent 16th-century Indian Islamic scholar and theologian best known as the father and intellectual influence of the Mughal court historian Abu’l-Fazl.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242515ec8190b015bf8c7b13be85 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.