Triple

T16353427
Position Surface form Disambiguated ID Type / Status
Subject WB Group E397113 entity
Predicate hasSubsidiary P254 FINISHED
Object Arex
Arex is a defense and firearms manufacturer known for producing pistols and other small arms as part of the WB Group portfolio.
 E1208786 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: Arex | Statement: [WB Group, hasSubsidiary, Arex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arex
Context triple: [WB Group, hasSubsidiary, Arex]
  • A. Arex
    Arex is a three-armed, three-legged Edosian Starfleet officer who serves as navigator on the USS Enterprise in Star Trek: The Animated Series.
  • B. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • C. Optax
    Optax is a gradient processing and optimization library for JAX, providing a flexible collection of composable optimizers and transformations for training machine learning models.
  • D. Noxon
    Noxon is a surname most notably associated with American television writer, producer, and director Marti Noxon.
  • E. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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: Arex
Triple: [WB Group, hasSubsidiary, Arex]
Generated description
Arex is a defense and firearms manufacturer known for producing pistols and other small arms as part of the WB Group portfolio.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arex
Target entity description: Arex is a defense and firearms manufacturer known for producing pistols and other small arms as part of the WB Group portfolio.
  • A. Arex
    Arex is a three-armed, three-legged Edosian Starfleet officer who serves as navigator on the USS Enterprise in Star Trek: The Animated Series.
  • B. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • C. Optax
    Optax is a gradient processing and optimization library for JAX, providing a flexible collection of composable optimizers and transformations for training machine learning models.
  • D. Noxon
    Noxon is a surname most notably associated with American television writer, producer, and director Marti Noxon.
  • E. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2faccab748190b11e0808e422f2ea completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db841dc8190bfe8a0d8fca1b309 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002f46da5c81909c6e726fe89a3f81 completed May 10, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a003063fd748190ba42c55b008202fc completed May 10, 2026, 7:14 a.m.
Created at: April 10, 2026, 5:07 a.m.