Triple
T14116290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Procter & Gamble Company |
E339784
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Pampers
Pampers is a leading global brand of baby diapers and related childcare products known for its disposable nappies and infant care innovations.
|
E1079802
|
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: Pampers | Statement: [Procter & Gamble Company, brand, Pampers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pampers Context triple: [Procter & Gamble Company, brand, Pampers]
-
A.
Baby Fresh
Baby Fresh is a music producer known for crafting contemporary tracks, including work on the song "All Over."
-
B.
Diapers.com
Diapers.com was an online retail company specializing in baby products and household essentials, best known as one of the early major e-commerce sites focused on diapers and parenting needs.
-
C.
Diaper Dandy
Diaper Dandy is a famous Dick Vitale catchphrase referring to an outstanding freshman college basketball player.
-
D.
Playtex
Playtex is a well-known American brand specializing in bras, shapewear, and other intimate apparel products.
-
E.
Cottonelle
Cottonelle is a popular Kimberly-Clark brand of bathroom tissue and related personal care products known for its softness and comfort.
- 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: Pampers Triple: [Procter & Gamble Company, brand, Pampers]
Generated description
Pampers is a leading global brand of baby diapers and related childcare products known for its disposable nappies and infant care innovations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pampers Target entity description: Pampers is a leading global brand of baby diapers and related childcare products known for its disposable nappies and infant care innovations.
-
A.
Baby Fresh
Baby Fresh is a music producer known for crafting contemporary tracks, including work on the song "All Over."
-
B.
Diapers.com
Diapers.com was an online retail company specializing in baby products and household essentials, best known as one of the early major e-commerce sites focused on diapers and parenting needs.
-
C.
Diaper Dandy
Diaper Dandy is a famous Dick Vitale catchphrase referring to an outstanding freshman college basketball player.
-
D.
Playtex
Playtex is a well-known American brand specializing in bras, shapewear, and other intimate apparel products.
-
E.
Cottonelle
Cottonelle is a popular Kimberly-Clark brand of bathroom tissue and related personal care products known for its softness and comfort.
- 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.