Triple

T21110314
Position Surface form Disambiguated ID Type / Status
Subject Amrish Puri E520153 entity
Predicate notableWork P4 FINISHED
Object Pardes 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: Pardes | Statement: [Amrish Puri, notableWork, Pardes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pardes
Context triple: [Amrish Puri, notableWork, Pardes]
  • A. Pardes chosen
    Pardes is a 1997 Hindi-language drama film directed by Subhash Ghai that explores cultural clashes and family values between India and the Indian diaspora in the United States.
  • B. Ha’apalah
    Ha’apalah was the clandestine immigration movement that brought Jewish refugees to Mandatory Palestine in defiance of British restrictions before the establishment of the State of Israel.
  • C. Tohorot
    Tohorot is a tractate of the Mishnah that deals with the complex laws of ritual purity and impurity.
  • D. Pardes Hanna-Karkur
    Pardes Hanna-Karkur is a town in northern Israel known for its agricultural roots, diverse population, and location near the Carmel region.
  • E. Messilah
    Messilah is a coastal district in Kuwait known for its upscale residential areas and luxury beachfront resorts.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72101f7308190beb202a052ff04d2 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.