Triple
T20291701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miriam Angeline Works |
E510041
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Miriam |
—
|
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: Miriam | Statement: [Miriam Angeline Works, givenName, Miriam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miriam Context triple: [Miriam Angeline Works, givenName, Miriam]
-
A.
Miriam
Miriam is a key member of the underground resistance group known as the Fishes in the dystopian world of "Children of Men."
-
B.
Miriam
"Miriam" is a Yiddish-language play by Peretz Hirschbein, known for its lyrical realism and focus on Jewish life and inner emotional worlds.
-
C.
Miriam
Miriam is the birth name of American film and television director Mimi Leder, known for her work on projects like "Deep Impact" and "The Leftovers."
-
D.
Miriam
Miriam is the birth name of American actress and former professional poker player Mimi Rogers.
-
E.
Miriam
Miriam is a central fictional character in Nathaniel Hawthorne’s novel "The Marble Faun," portrayed as a mysterious and artistically gifted woman with a troubled past.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67700c024819091205f5b0a8648e3 |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:12 a.m.