Triple
T3244028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Procter & Gamble |
E68029
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Olay
Olay is a popular global skincare brand known for its anti-aging creams, moisturizers, and facial care products.
|
E339793
|
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: Olay | Statement: [Procter & Gamble, hasBrand, Olay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olay Context triple: [Procter & Gamble, hasBrand, Olay]
-
A.
Saksi
Saksi is a long-running Filipino late-night television newscast known for its in-depth reporting and broadcast on GMA Network.
-
B.
The Chief
The Chief is the nickname of Robert Parish, a Hall of Fame NBA center best known for his long, successful tenure with the Boston Celtics and his record for most games played in league history.
-
C.
Poliça
Poliça is an American synth-pop and alternative R&B band from Minneapolis known for its atmospheric production, heavy use of vocal effects, and emotionally charged songwriting.
-
D.
Hanna
"Hanna" is a 2011 action thriller film about a teenage girl trained as an assassin, known for its stylized direction and electronic score by The Chemical Brothers.
-
E.
Hanna
Hanna was the wife of the influential 16th-century Jewish legal scholar and codifier Rabbi Joseph Karo.
- 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: Olay Triple: [Procter & Gamble, hasBrand, Olay]
Generated description
Olay is a popular global skincare brand known for its anti-aging creams, moisturizers, and facial care products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olay Target entity description: Olay is a popular global skincare brand known for its anti-aging creams, moisturizers, and facial care products.
-
A.
Saksi
Saksi is a long-running Filipino late-night television newscast known for its in-depth reporting and broadcast on GMA Network.
-
B.
The Chief
The Chief is the nickname of Robert Parish, a Hall of Fame NBA center best known for his long, successful tenure with the Boston Celtics and his record for most games played in league history.
-
C.
Poliça
Poliça is an American synth-pop and alternative R&B band from Minneapolis known for its atmospheric production, heavy use of vocal effects, and emotionally charged songwriting.
-
D.
Hanna
Hanna was the wife of the influential 16th-century Jewish legal scholar and codifier Rabbi Joseph Karo.
-
E.
Hanna
"Hanna" is a 2011 action thriller film about a teenage girl trained as an assassin, known for its stylized direction and electronic score by The Chemical Brothers.
- 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.