Triple

T5554222
Position Surface form Disambiguated ID Type / Status
Subject Kerry Bishé E145597 entity
Predicate spouse P13 FINISHED
Object Chris Lowell E315730 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: Chris Lowell | Statement: [Kerry Bishé, spouse, Chris Lowell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Lowell
Context triple: [Kerry Bishé, spouse, Chris Lowell]
  • A. Chris Lowell chosen
    Chris Lowell is an American actor best known for his roles in television series such as "Veronica Mars," "Private Practice," and "GLOW," as well as films like "Up in the Air."
  • B. Scott Reed
    Scott Reed is a computer scientist and machine learning researcher known for his work on deep learning and generative models.
  • C. Michael McDowell
    Michael McDowell was an American novelist and screenwriter best known for his Southern Gothic horror fiction and for writing the screenplay for the film "Beetlejuice."
  • D. Michael Pitts
    Michael Pitts is a relatively common personal name shared by multiple individuals, including figures in fields such as politics, religion, and entertainment.
  • E. Josh James
    Josh James is an American entrepreneur best known as the co-founder and former CEO of web analytics company Omniture.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ff9c9c48190b5e587d58c6515d8 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d01a9948190a033947c7c031e04 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:36 p.m.