Triple

T4940248
Position Surface form Disambiguated ID Type / Status
Subject Lindsay E110911 entity
Predicate appearsIn P795 FINISHED
Object "Shantaram" E15070 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: "Shantaram" | Statement: [Lindsay, appearsIn, "Shantaram"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Shantaram"
Context triple: [Lindsay, appearsIn, "Shantaram"]
  • A. Shantaram chosen
    Shantaram is a novel by Gregory David Roberts that follows an Australian fugitive who builds a new life in the underworld of Bombay, blending adventure, crime, and spiritual exploration.
  • B. Reamde
    Reamde is a techno-thriller novel by Neal Stephenson that intertwines online gaming, cybercrime, and international terrorism in a fast-paced, globe-spanning narrative.
  • C. Mirzapur
    Mirzapur is a city in the Indian state of Uttar Pradesh, known for its carpet and brassware industries and its location on the banks of the Ganges River.
  • D. The Way
    The Way is a 2010 drama film directed by Emilio Estevez and starring Martin Sheen, following a father's pilgrimage along Spain's Camino de Santiago after the death of his son.
  • E. The Ganachery
    The Ganachery is an artisanal chocolate shop at Disney Springs known for its handcrafted ganache and specialty confections.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd708a3dcc81908b6628864fe0db0a completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77bf1f0481909cd007c78096f7c5 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:31 p.m.