Triple

T565978
Position Surface form Disambiguated ID Type / Status
Subject Ford Prefect E13553 entity
Predicate travelsWith P881 FINISHED
Object Trillian E26447 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: Trillian | Statement: [Ford Prefect, travelsWith, Trillian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trillian
Context triple: [Ford Prefect, travelsWith, Trillian]
  • A. Trillian chosen
    Trillian is a brilliant human mathematician and astrophysicist who becomes an intergalactic traveler in Douglas Adams' comic science fiction series "The Hitchhiker's Guide to the Galaxy."
  • B. Roberta
    Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
  • C. Gillian
    Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • D. Cynthia
    Cynthia is a common feminine given name used in various cultures, often associated with the Greek moon goddess Artemis.
  • E. Christina
    Christina is a feminine given name widely used in many cultures, often associated with notable figures in entertainment, arts, and public life.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d28af148190acad3cfb809ff2f2 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc8ff78c8190954d33f9e4556cca completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:32 p.m.