Triple
T20522187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamela A. Melroy |
E503837
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Pamela |
—
|
NE NERFINISHED |
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 | Statement: [Pamela A. Melroy, givenName, Pamela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamela Context triple: [Pamela A. Melroy, givenName, Pamela]
-
A.
Pamela
chosen
Pamela is the given name of Pam Grier, the pioneering American actress celebrated for her iconic roles in 1970s blaxploitation films and later works like "Jackie Brown."
-
B.
Pamela; or, Virtue Rewarded
Pamela; or, Virtue Rewarded is an epistolary novel by Samuel Richardson that tells the story of a young maidservant whose steadfast defense of her virtue against her wealthy master leads to her eventual social rise.
-
C.
Pamela, a Love Story
"Pamela, a Love Story" is a 2023 Netflix documentary film that offers an intimate, first-person look at Pamela Anderson’s life, career, and public image.
-
D.
Clarissa
Clarissa is the given name of Lady Eden, a titled woman likely belonging to the British aristocracy.
-
E.
Clarissa
Clarissa is the given first name of Clara Barton, the pioneering American nurse and founder of the American Red Cross.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f46488c819093687b4e07837793 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.