Triple
T4458199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamela Anderson |
E98183
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Pamela Anderson |
E98183
|
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: Pamela Anderson | Statement: [Pamela Anderson, name, Pamela Anderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamela Anderson Context triple: [Pamela Anderson, name, Pamela Anderson]
-
A.
Pamela Anderson
chosen
Pamela Anderson is a Canadian-American actress, model, and television personality best known for her role on "Baywatch" and her status as a prominent pop culture and sex symbol of the 1990s.
-
B.
Heather Graham
Heather Graham is an American actress known for her roles in films such as "Boogie Nights," "Austin Powers: The Spy Who Shagged Me," and "The Hangover."
-
C.
Brooke Russell
Brooke Russell was an American socialite and philanthropist best known as the wife of financier Vincent Astor and for her prominent role in New York high society.
-
D.
Lola Ray Facinelli
Lola Ray Facinelli is the daughter of American actor Peter Facinelli.
-
E.
Carmen Electra
Carmen Electra is an American actress, model, singer, and television personality known for her roles in "Baywatch," parody films like "Scary Movie," and her high-profile pop culture presence since the 1990s.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3564485688190a0d49fdccf8724be |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6282ea6308190b726a9f8176d4d1b |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:33 p.m.