Triple
T21480691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mala Powers |
E529980
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mala Powers |
—
|
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: Mala Powers | Statement: [Mala Powers, name, Mala Powers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mala Powers Context triple: [Mala Powers, name, Mala Powers]
-
A.
Mala Powers
chosen
Mala Powers was an American film and television actress best known for her roles in 1950s Hollywood dramas and comedies.
-
B.
Donna Powers
Donna Powers is an American screenwriter best known for co-writing the 2003 heist film "The Italian Job" and other genre movies.
-
C.
Alicia Malone
Alicia Malone is a film critic, author, and television host best known for her work presenting and analyzing classic and contemporary cinema on Turner Classic Movies (TCM).
-
D.
Aileen Marlowe
Aileen Marlowe was the wife of American film and television actor Hugh Marlowe.
-
E.
Mary Storm
Mary Storm is a Marvel Comics character best known as the mother of Johnny Storm, the Human Torch of the Fantastic Four.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea1b0130819088b8e96ddbb29317 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:20 p.m.