Triple

T19921454
Position Surface form Disambiguated ID Type / Status
Subject Bell H-13 Sioux E478804 entity
Predicate hasVariant P455 FINISHED
Object H-13M
The H-13M is a variant of the Bell H-13 Sioux light utility and observation helicopter, adapted for roles such as training, liaison, and medical evacuation.
E1414251 NE FINISHED

How this triple was built (4 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-13M | Statement: [Bell H-13 Sioux, hasVariant, H-13M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: H-13M
Context triple: [Bell H-13 Sioux, hasVariant, H-13M]
  • A. H-13B
    The H-13B is an early production variant of the Bell H-13 Sioux light utility helicopter, used primarily for training, observation, and liaison roles.
  • B. H-13H
    The H-13H is a variant of the Bell H-13 Sioux light utility and observation helicopter, used primarily for training and liaison roles.
  • C. H-13E
    The H-13E is a variant of the Bell H-13 Sioux light utility helicopter, used primarily for training, observation, and medical evacuation roles in the mid-20th century.
  • D. H-13K
    The H-13K is a variant of the Bell H-13 Sioux light utility helicopter, used primarily for training, observation, and liaison roles.
  • E. H-13L
    The H-13L is a variant of the Bell H-13 Sioux light utility helicopter, used primarily for observation, training, and medical evacuation roles.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: H-13M
Triple: [Bell H-13 Sioux, hasVariant, H-13M]
Generated description
The H-13M is a variant of the Bell H-13 Sioux light utility and observation helicopter, adapted for roles such as training, liaison, and medical evacuation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: H-13M
Target entity description: The H-13M is a variant of the Bell H-13 Sioux light utility and observation helicopter, adapted for roles such as training, liaison, and medical evacuation.
  • A. H-13B
    The H-13B is an early production variant of the Bell H-13 Sioux light utility helicopter, used primarily for training, observation, and liaison roles.
  • B. H-13H
    The H-13H is a variant of the Bell H-13 Sioux light utility and observation helicopter, used primarily for training and liaison roles.
  • C. H-13E
    The H-13E is a variant of the Bell H-13 Sioux light utility helicopter, used primarily for training, observation, and medical evacuation roles in the mid-20th century.
  • D. H-13K
    The H-13K is a variant of the Bell H-13 Sioux light utility helicopter, used primarily for training, observation, and liaison roles.
  • E. H-13L
    The H-13L is a variant of the Bell H-13 Sioux light utility helicopter, used primarily for observation, training, and medical evacuation roles.
  • F. None of above. chosen

Provenance (5 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c564788190a3893fc73fc4922b completed April 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08345781b48190ace08e9474507514 completed May 16, 2026, 9:09 a.m.
NEDg Description generation batch_6a0835241ba08190923317262ac984d4 completed May 16, 2026, 9:13 a.m.
NED2 Entity disambiguation (via description) batch_6a08360def9c8190b8a2d48814ee13c8 completed May 16, 2026, 9:17 a.m.
Created at: April 10, 2026, 1:53 p.m.