Triple

T3994442
Position Surface form Disambiguated ID Type / Status
Subject Phoebe Waller-Bridge E87065 entity
Predicate created P538 FINISHED
Object Crashing E403581 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: Crashing | Statement: [Phoebe Waller-Bridge, created, Crashing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crashing
Context triple: [Phoebe Waller-Bridge, created, Crashing]
  • A. Crashing chosen
    Crashing is a British comedy-drama television series created by and starring Phoebe Waller-Bridge, following a group of twenty-somethings living as property guardians in a disused hospital.
  • B. Crashing Towers
    "Crashing Towers" is an episode title from the 1939 science fiction movie serial *The Phantom Creeps*, starring Bela Lugosi as a mad scientist.
  • C. Crash
    Crash is a 2004 ensemble drama film exploring racial and social tensions in Los Angeles through intersecting storylines.
  • D. Breakdown
    "Breakdown" is a 1976 rock song by Tom Petty and the Heartbreakers, known for its moody groove, sparse arrangement, and status as one of the band's early signature tracks.
  • E. Breakdown
    Breakdown is a 1997 American thriller film starring Kurt Russell as a man whose wife mysteriously disappears during a road trip, leading him into a tense and dangerous search.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa1f0fb88190aafbfdc98bc8652d completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5562139b481909faba39f4f36cd26 completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:34 p.m.