Triple
T300325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colgate-Palmolive |
E6182
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Palmolive
Palmolive is a long-established personal care and household products brand best known for its soaps, shampoos, and dishwashing liquids sold worldwide.
|
E6182
|
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: Palmolive | Statement: [Colgate-Palmolive, brand, Palmolive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palmolive Context triple: [Colgate-Palmolive, brand, Palmolive]
-
A.
Colgate-Palmolive
Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
-
B.
Gillette
Gillette is a globally recognized American brand best known for its razors and shaving products.
-
C.
Kiehl's
Kiehl's is an American skincare and cosmetics brand known for its apothecary-style stores and science-driven formulations.
-
D.
L'Oréal
L'Oréal is a French multinational cosmetics and beauty company recognized as one of the world’s largest and most influential personal care brands.
-
E.
La Roche-Posay
La Roche-Posay is a French dermatological skincare brand known for its sensitive-skin-friendly formulas developed with thermal spring water and widely recommended by dermatologists.
- 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: Palmolive Triple: [Colgate-Palmolive, brand, Palmolive]
Generated description
Palmolive is a long-established personal care and household products brand best known for its soaps, shampoos, and dishwashing liquids sold worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Palmolive Target entity description: Palmolive is a long-established personal care and household products brand best known for its soaps, shampoos, and dishwashing liquids sold worldwide.
-
A.
Colgate-Palmolive
chosen
Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
-
B.
Gillette
Gillette is a globally recognized American brand best known for its razors and shaving products.
-
C.
Kiehl's
Kiehl's is an American skincare and cosmetics brand known for its apothecary-style stores and science-driven formulations.
-
D.
L'Oréal
L'Oréal is a French multinational cosmetics and beauty company recognized as one of the world’s largest and most influential personal care brands.
-
E.
La Roche-Posay
La Roche-Posay is a French dermatological skincare brand known for its sensitive-skin-friendly formulas developed with thermal spring water and widely recommended by dermatologists.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e6a8308190b9bd15310e324504 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3aba14b0881908eb4f62ac9261d63 |
completed | March 1, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_69a3af5161448190b2051c9533379b3e |
completed | March 1, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3afb5fca48190a2bfece390311dca |
completed | March 1, 2026, 3:17 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.