Triple

T14681495
Position Surface form Disambiguated ID Type / Status
Subject Diahnne Abbott E344796 entity
Predicate participatedIn P149 FINISHED
Object Love Streams E265078 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: Love Streams | Statement: [Diahnne Abbott, participatedIn, Love Streams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Streams
Context triple: [Diahnne Abbott, participatedIn, Love Streams]
  • A. Love Streams chosen
    Love Streams is a 1984 American drama film written and directed by John Cassavetes, exploring the turbulent relationship between a hard-drinking writer and his emotionally fragile sister.
  • B. Sky Stream
    Sky Stream is a streaming television service from Sky that delivers live TV and on-demand content over broadband without the need for a satellite dish.
  • C. Mirror Stream
    Mirror Stream is a famous decorative fountain and reflecting pool located in Kharkiv, Ukraine, known as a city landmark and popular photo spot.
  • D. Back Stream
    Back Stream is a minor watercourse in Somerset, England, that serves as one of the tributaries feeding into the River Tone.
  • E. Rivers of Love
    "Rivers of Love" is a song by Canadian singer-songwriter Sarah McLachlan from her 2010 studio album *Laws of Illusion*.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb56a51ec8190941684fd562a7182 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf080b7508190ac99b8bb6cfb1881 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.