Triple

T8540402
Position Surface form Disambiguated ID Type / Status
Subject Nicole Holofcener E202179 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object Walking and Talking E741099 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: Walking and Talking | Statement: [Nicole Holofcener, wroteScreenplayFor, Walking and Talking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walking and Talking
Context triple: [Nicole Holofcener, wroteScreenplayFor, Walking and Talking]
  • A. Walking and Talking chosen
    Walking and Talking is a 1996 indie romantic comedy-drama film that follows the evolving friendship and romantic misadventures of two women in New York City.
  • B. Taking a Walk
    "Taking a Walk" is a melodic, introspective hip-hop track by Trippie Redd known for its atmospheric production and emotionally charged vocals.
  • C. Walk It Talk It
    "Walk It Talk It" is a popular hip-hop track by Migos featuring Drake, known for its catchy hook and retro Soul Train-inspired music video.
  • D. Walk with Me
    Walk with Me is a breakout EP by British grime artist Bugzy Malone that helped establish his reputation in the UK music scene.
  • E. Walk With Me
    "Walk With Me" is a gospel song whose vocal sample is prominently featured in Kanye West's track "Jesus Walks."
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6dfb2bc8190a41e32eca3c824c2 completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea86036a881909cd1744cdb5b7a7f completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:18 p.m.