Triple
T3244020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Procter & Gamble |
E68029
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Pantene
Pantene is a globally recognized hair care brand known for its shampoos, conditioners, and styling products that emphasize hair health and shine.
|
E342343
|
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: Pantene | Statement: [Procter & Gamble, hasBrand, Pantene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pantene Context triple: [Procter & Gamble, hasBrand, Pantene]
-
A.
Sunsilk
Sunsilk is a popular global hair care brand known for its shampoos and conditioners, owned by the multinational company Unilever.
-
B.
Head & Shoulders
Head & Shoulders is a widely known anti-dandruff shampoo and hair care brand owned by Procter & Gamble.
-
C.
Herbal Essences
Herbal Essences is a popular hair care brand known for its fragranced shampoos and conditioners often marketed with botanical and natural imagery.
-
D.
Biolage
Biolage is a professional haircare brand known for salon-quality products that emphasize botanical ingredients and sustainable practices.
-
E.
Schwarzkopf
Schwarzkopf is a German surname most prominently associated with U.S. Army General Norman Schwarzkopf Jr., who led coalition forces in the Gulf War.
- 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: Pantene Triple: [Procter & Gamble, hasBrand, Pantene]
Generated description
Pantene is a globally recognized hair care brand known for its shampoos, conditioners, and styling products that emphasize hair health and shine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pantene Target entity description: Pantene is a globally recognized hair care brand known for its shampoos, conditioners, and styling products that emphasize hair health and shine.
-
A.
Sunsilk
Sunsilk is a popular global hair care brand known for its shampoos and conditioners, owned by the multinational company Unilever.
-
B.
Head & Shoulders
Head & Shoulders is a widely known anti-dandruff shampoo and hair care brand owned by Procter & Gamble.
-
C.
Herbal Essences
Herbal Essences is a popular hair care brand known for its fragranced shampoos and conditioners often marketed with botanical and natural imagery.
-
D.
Biolage
Biolage is a professional haircare brand known for salon-quality products that emphasize botanical ingredients and sustainable practices.
-
E.
Schwarzkopf
Schwarzkopf is a German surname most prominently associated with U.S. Army General Norman Schwarzkopf Jr., who led coalition forces in the Gulf War.
- 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_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_69b28eb55734819093f470caacc3e29c |
completed | March 12, 2026, 10 a.m. |
| NEDg | Description generation | batch_69b28f9e12488190b93355b783300264 |
completed | March 12, 2026, 10:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2c092063481909982dea3f71c00c1 |
completed | March 12, 2026, 1:33 p.m. |
Created at: March 8, 2026, 3:08 p.m.