Triple

T20327397
Position Surface form Disambiguated ID Type / Status
Subject Bayer family E492375 entity
Predicate hasPart P35 FINISHED
Object Phoenix
Phoenix is a German consumer goods brand best known for its household and personal care products under the Bayer corporate umbrella.
E1424414 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: Phoenix | Statement: [Bayer family, hasPart, Phoenix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phoenix
Context triple: [Bayer family, hasPart, Phoenix]
  • A. Phoenix
    Phoenix is a British publishing imprint known for releasing a wide range of fiction and non-fiction titles under the Orion Publishing Group.
  • B. Phoenix
    Phoenix is a residential suburb within the greater Milnerton area of Cape Town, South Africa.
  • C. Phoenix
    Phoenix is a prominent American acting family name most famously associated with Oscar-winning actor Joaquin Phoenix.
  • D. Phoenix
    Phoenix is a small southern-sky constellation named after the mythical firebird, visible primarily from the Southern Hemisphere.
  • E. Phoenix
    Phoenix is a figure in Greek mythology, often identified as a son of Agenor and brother of Cadmus, associated with the legendary founding of Phoenicia.
  • 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: Phoenix
Triple: [Bayer family, hasPart, Phoenix]
Generated description
Phoenix is a German consumer goods brand best known for its household and personal care products under the Bayer corporate umbrella.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Phoenix
Target entity description: Phoenix is a German consumer goods brand best known for its household and personal care products under the Bayer corporate umbrella.
  • A. Phoenix
    Phoenix is a German public television channel specializing in live news coverage, political events, and documentaries.
  • B. Phoenix
    Phoenix is a British publishing imprint known for releasing a wide range of fiction and non-fiction titles under the Orion Publishing Group.
  • C. Phoenix
    Phoenix is a French indie pop and rock band known for their catchy, synth-infused sound and critically acclaimed albums like "Wolfgang Amadeus Phoenix."
  • D. Phoenix
    Phoenix is a genus of palm trees best known for including the cultivated date palm species.
  • E. Phoenix
    Phoenix is a British rock band best known for its work with the band Air and its blend of indie pop and alternative rock sounds.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e513608190b70527cd9f4d5da3 completed April 20, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08612f90b08190a6b700906944fc27 completed May 16, 2026, 12:21 p.m.
NEDg Description generation batch_6a086231b440819087671c5c61adcdc6 completed May 16, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a08635869148190992d75a8806f767c completed May 16, 2026, 12:30 p.m.
Created at: April 16, 2026, 11:21 a.m.