Triple

T37163501
Position Surface form Disambiguated ID Type / Status
Subject JVT E920736 entity
Predicate primaryStandardDeveloped P30412 FINISHED
Object H.264 E53638 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: H.264 | Statement: [JVT, primaryStandardDeveloped, H.264]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryStandardDeveloped
Context triple: [JVT, primaryStandardDeveloped, H.264]
  • A. developsStandardsFor chosen
    Indicates that one entity creates, defines, or establishes formal standards, guidelines, or specifications for another entity or domain.
  • B. firstStandardApproved
    Indicates that an entity is the earliest or initial standard that has received formal approval.
  • C. firstStandardized
    Indicates that an entity is the earliest or primary instance to which a standard or uniform specification has been first applied among comparable entities.
  • D. introducedStandard
    Indicates that an entity formally brought a standard into existence or put it into official use.
  • E. firstStandard
    Indicates that the subject is the earliest or primary instance in a defined standard, sequence, or set of reference criteria.
  • F. None of above.

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_69f76ea0429081908c711b55599eac3c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a402bba279c81908800321a32b6f2c5 completed June 27, 2026, 7:59 p.m.
PD Predicate disambiguation batch_6a037a11efc08190bb7cacc1325b4dc6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:15 p.m.