Triple

T14253817
Position Surface form Disambiguated ID Type / Status
Subject Dimensions in Time E353334 entity
Predicate featuresCharacter P626 FINISHED
Object Peri Brown E418948 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: Peri Brown | Statement: [Dimensions in Time, featuresCharacter, Peri Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peri Brown
Context triple: [Dimensions in Time, featuresCharacter, Peri Brown]
  • A. Peri Brown chosen
    Peri Brown is a companion of the Fifth and Sixth Doctors in the long-running British science fiction television series Doctor Who.
  • B. Peri Euches
    Peri Euches is an early Christian theological work on the nature and practice of prayer, traditionally attributed to Origen.
  • C. Polly Perkins
    Polly Perkins is the intrepid newspaper reporter and leading heroine in the retro-futuristic adventure film "Sky Captain and the World of Tomorrow."
  • D. Lucinda Perriweather
    Lucinda Perriweather is the well-meaning but reckless fairy in "Ella Enchanted" whose misguided gift of obedience causes much of the story’s conflict.
  • E. Emmy Brown
    Emmy Brown is a character in the 1941 romantic drama film "Hold Back the Dawn," serving as part of the story’s emotional and narrative development.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6297f38c819090d7c7fd8bfa2e9e completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d127f0c81908dea42ca09c1abda completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:09 a.m.