Triple
T14116303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Procter & Gamble Company |
E339784
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Olay |
E339793
|
NE FINISHED |
How this triple was built (2 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 Company, brand, Olay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olay Context triple: [Procter & Gamble Company, brand, Olay]
-
A.
Olay
chosen
Olay is a popular global skincare brand known for its anti-aging creams, moisturizers, and facial care products.
-
B.
Olgossa
Olgossa is a village in the Darfur region of Sudan, historically known as the birthplace of Saint Josephine Bakhita.
-
C.
The Incident
The Incident is a 2009 concept album by British progressive rock band Porcupine Tree, known for its long-form song cycle and dark, atmospheric exploration of modern life and trauma.
-
D.
The Incident
"The Incident" is a 1967 American psychological thriller film, best known for its tense portrayal of two thugs terrorizing passengers on a New York City subway train.
-
E.
Biktima
Biktima is a Filipino thriller-drama film starring Cesar Montano that centers on crime, trauma, and the pursuit of justice.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6010a03c81909f5f160f8d1fa8fa |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0baa328819099511dfa7b9666d3 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.