Triple
T6489091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keystone Studios |
E147987
|
entity |
| Predicate | employed |
P7
|
FINISHED |
| Object | Louise Fazenda |
E241210
|
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: Louise Fazenda | Statement: [Keystone Studios, employed, Louise Fazenda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louise Fazenda Context triple: [Keystone Studios, employed, Louise Fazenda]
-
A.
Louise Fazenda
chosen
Louise Fazenda was a prominent American silent film comedian and character actress known for her work in early Hollywood comedies.
-
B.
Mariana Keil
Mariana Keil is known primarily as a daughter of the Portuguese composer and painter Alfredo Keil, who wrote the music for Portugal’s national anthem.
-
C.
Jacqueline Cambas
Jacqueline Cambas is a film editor known for her work on the movie "Now and Then."
-
D.
Loretta Sebena
Loretta Sebena was the wife of American film actor Victor Mature, known primarily for her marriage to the Hollywood star.
-
E.
Laura Lopes
Laura Lopes is a British art curator and gallery co-founder, best known as the daughter of Queen Camilla and her first husband, Andrew Parker Bowles.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a97fff88190b6f993c14df62649 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653ba03288190ba4e4ce99d0ba32e |
completed | March 27, 2026, 9:54 a.m. |
Created at: March 22, 2026, 4:52 p.m.