Triple
T3244014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Procter & Gamble |
E68029
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Pampers
Pampers is a leading global brand of baby diapers and related childcare products known for its disposable nappies and wipes.
|
E68029
|
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, hasBrand, Pampers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pampers Context triple: [Procter & Gamble, hasBrand, Pampers]
-
A.
Lifebuoy
Lifebuoy is a long-established global soap and hygiene brand known for its antibacterial products and health-focused marketing.
-
B.
Kimberly-Clark Corporation
Kimberly-Clark Corporation is a multinational personal care company best known for brands such as Kleenex, Huggies, and Scott paper products.
-
C.
Procter & Gamble
Procter & Gamble is a multinational consumer goods corporation known for a wide range of household, personal care, and hygiene brands sold globally.
-
D.
Johnson's Baby
Johnson's Baby is a well-known line of gentle baby care products, including shampoos, lotions, and powders, designed for infants and young children.
-
E.
Hanesbrands
Hanesbrands is a leading American apparel company best known for its Hanes and Champion brands of underwear, activewear, and basic clothing.
- 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, hasBrand, Pampers]
Generated description
Pampers is a leading global brand of baby diapers and related childcare products known for its disposable nappies and wipes.
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 wipes.
-
A.
Lifebuoy
Lifebuoy is a long-established global soap and hygiene brand known for its antibacterial products and health-focused marketing.
-
B.
Kimberly-Clark Corporation
Kimberly-Clark Corporation is a multinational personal care company best known for brands such as Kleenex, Huggies, and Scott paper products.
-
C.
Procter & Gamble
chosen
Procter & Gamble is a multinational consumer goods corporation known for a wide range of household, personal care, and hygiene brands sold globally.
-
D.
Johnson's Baby
Johnson's Baby is a well-known line of gentle baby care products, including shampoos, lotions, and powders, designed for infants and young children.
-
E.
Hanesbrands
Hanesbrands is a leading American apparel company best known for its Hanes and Champion brands of underwear, activewear, and basic clothing.
- F. None of above.
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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1856708190b072efbb27920ade |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2775be7c88190ba60b191f1c51e19 |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b27846372c8190a5c96158bf2a5ff2 |
completed | March 12, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2791ac4a08190a1cee3cfbca6e6d6 |
completed | March 12, 2026, 8:28 a.m. |
Created at: March 8, 2026, 3:08 p.m.