Triple

T14116308
Position Surface form Disambiguated ID Type / Status
Subject Procter & Gamble Company E339784 entity
Predicate brand P1500 FINISHED
Object Dawn
Dawn is a leading American dishwashing liquid brand known for its strong grease-cutting power and use in wildlife rescue efforts.
 E1079803 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: Dawn | Statement: [Procter & Gamble Company, brand, Dawn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dawn
Context triple: [Procter & Gamble Company, brand, Dawn]
  • A. Dawn
    Dawn is a novel by Elie Wiesel that explores the moral and psychological struggles of a young Holocaust survivor involved in a Jewish underground movement in British-controlled Palestine.
  • B. Dawn
    Dawn was a NASA space probe that studied the protoplanet Vesta and the dwarf planet Ceres in the asteroid belt using ion propulsion.
  • C. Dawn
    "Dawn" is a lesser-known novel by American author Eleanor H. Porter, best known for writing "Pollyanna."
  • D. Dawn
    Dawn is a feminine given name commonly associated with the early morning time when light first appears in the sky.
  • E. Dawn
    Dawn is a modernist sculpture featured in Ludwig Mies van der Rohe’s iconic Barcelona Pavilion.
  • 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: Dawn
Triple: [Procter & Gamble Company, brand, Dawn]
Generated description
Dawn is a leading American dishwashing liquid brand known for its strong grease-cutting power and use in wildlife rescue efforts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dawn
Target entity description: Dawn is a leading American dishwashing liquid brand known for its strong grease-cutting power and use in wildlife rescue efforts.
  • A. Dawn
    Dawn is a feminine given name commonly associated with the early morning time when light first appears in the sky.
  • B. Dawn
    Dawn is a novel by Elie Wiesel that explores the moral and psychological struggles of a young Holocaust survivor involved in a Jewish underground movement in British-controlled Palestine.
  • C. Dawn
    Dawn was a NASA space probe that studied the protoplanet Vesta and the dwarf planet Ceres in the asteroid belt using ion propulsion.
  • D. Dawn
    Dawn is a science fiction novel by Octavia E. Butler that opens her Xenogenesis (Lilith’s Brood) trilogy, exploring themes of alien contact, genetic manipulation, and the future of humanity.
  • E. Dawn
    Dawn is a modernist sculpture featured in Ludwig Mies van der Rohe’s iconic Barcelona Pavilion.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6010a03c81909f5f160f8d1fa8fa completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0baa328819099511dfa7b9666d3 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd3a8b8e08190b230ab8a2215145e completed May 7, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_69fcd48acddc819087d626c4764bf148 completed May 7, 2026, 6:06 p.m.
Created at: April 9, 2026, 10:22 p.m.