Triple

T27234278
Position Surface form Disambiguated ID Type / Status
Subject The Castafiore Emerald E682232 entity
Predicate hasScriptBy P173216 FINISHED
Object Hergé NE NERFINISHED

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: Hergé | Statement: [The Castafiore Emerald, hasScriptBy, Hergé]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScriptBy
Context triple: [The Castafiore Emerald, hasScriptBy, Hergé]
  • A. containsScript
    Indicates that one entity includes or embeds the script of another entity within it.
  • B. hasScriptTool
    Indicates that an entity uses, is associated with, or is supported by a particular scripting tool or scripting environment.
  • C. hasScriptStatus
    Indicates that an entity has a particular script-related state or condition, such as whether a script is present, active, or in a given status.
  • D. usesScriptFor
    Indicates that one entity employs or relies on a particular script or writing system for its representation, communication, or operation.
  • E. hasNotableScript
    Indicates that an entity is associated with a script (such as a writing system or screenplay) that is considered notable or significant.
  • F. None of above. chosen

Provenance (4 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_69eefacdad7881908b7bca61c90a1a1e completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6b342499c8190b85009a3f0f179e4 completed May 3, 2026, 2:30 a.m.
PD Predicate disambiguation batch_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
PDg Predicate description generation batch_69f6b2a31e008190aacef03c2ebe5787 completed May 3, 2026, 2:27 a.m.
Created at: April 27, 2026, 9:47 a.m.