Triple
T12909347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edna Fischel Gellhorn |
E308810
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Edna |
E813525
|
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: Edna | Statement: [Edna Fischel Gellhorn, givenName, Edna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edna Context triple: [Edna Fischel Gellhorn, givenName, Edna]
-
A.
Edna
Edna is a tense, intrusive houseguest whose unexpected, prolonged visit heightens the emotional strain and existential unease in Edward Albee’s play "A Delicate Balance."
-
B.
Edna
Edna is a biblical figure from the Book of Tobit, known as the wife of Raguel and mother of Sarah.
-
C.
Edna
Edna is the given first name of the acclaimed American actress Ellen Burstyn.
-
D.
Edna
chosen
Edna is a feminine given name of Old English origin, often associated with meanings like "wealthy" or "joy."
-
E.
Edna Murphy
Edna Murphy was an American silent film actress active in the 1920s, known for her roles in numerous melodramas and comedies.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719e584c81909be1ac1366effca0 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e262580c8190ad3f1aa77fd0674c |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 5:41 p.m.