Triple

T35491440
Position Surface form Disambiguated ID Type / Status
Subject The Present E1025741 entity
Predicate plotSummary P264 FINISHED
Object A father and his young daughter in the occupied West Bank attempt to buy a wedding anniversary gift while facing checkpoints and restrictions under military occupation. LITERAL FINISHED

How this triple was built (1 step)

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: A father and his young daughter in the occupied West Bank attempt to buy a wedding anniversary gift while facing checkpoints and restrictions under military occupation. | Statement: [The Present, plotSummary, A father and his young daughter in the occupied West Bank attempt to buy a wedding anniversary gift while facing checkpoints and restrictions under military occupation.]

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_69f76dfbcdd881908c7b0b6bc502252b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7972e18f881909f664817486c233e completed May 3, 2026, 6:42 p.m.
Created at: May 3, 2026, 4:04 p.m.