Triple
T3244018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Procter & Gamble |
E68029
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Gain
Gain is a popular Procter & Gamble laundry detergent brand known for its strong, long-lasting fragrances.
|
E339787
|
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: Gain | Statement: [Procter & Gamble, hasBrand, Gain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gain Context triple: [Procter & Gamble, hasBrand, Gain]
-
A.
Grab
Grab is a Southeast Asian super-app company best known for its ride-hailing, food delivery, and digital payments services.
-
B.
Gap
Gap is a town in southeastern France, known as the capital of the Hautes-Alpes department and a gateway to the French Alps.
-
C.
Increase
Increase is a rare given name most famously borne by Increase Mather, a prominent 17th-century New England Puritan minister and political figure.
-
D.
Win Win
Win Win is a 2011 indie dramedy film about a struggling attorney and high school wrestling coach who takes in a teenage runaway, featuring a critically acclaimed performance by Paul Giamatti.
-
E.
Valor
Valor is a concept or quality associated with courage and bravery in the context of warfare and heroic action.
- 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: Gain Triple: [Procter & Gamble, hasBrand, Gain]
Generated description
Gain is a popular Procter & Gamble laundry detergent brand known for its strong, long-lasting fragrances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gain Target entity description: Gain is a popular Procter & Gamble laundry detergent brand known for its strong, long-lasting fragrances.
-
A.
Grab
Grab is a Southeast Asian super-app company best known for its ride-hailing, food delivery, and digital payments services.
-
B.
Gap
Gap is a town in southeastern France, known as the capital of the Hautes-Alpes department and a gateway to the French Alps.
-
C.
Increase
Increase is a rare given name most famously borne by Increase Mather, a prominent 17th-century New England Puritan minister and political figure.
-
D.
Win Win
Win Win is a 2011 indie dramedy film about a struggling attorney and high school wrestling coach who takes in a teenage runaway, featuring a critically acclaimed performance by Paul Giamatti.
-
E.
Valor
Valor is a concept or quality associated with courage and bravery in the context of warfare and heroic action.
- 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_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.