Triple
T12337993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edith Evans |
E294141
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Edith |
E340702
|
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: Edith | Statement: [Edith Evans, givenName, Edith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edith Context triple: [Edith Evans, givenName, Edith]
-
A.
Edith
Edith was the birth name of Edith of Scotland, an Anglo-Saxon–Norman noblewoman who became Queen consort of England as the first wife of King Henry I.
-
B.
Edith
chosen
Edith is the full given name of American actress Edie Falco, best known for her Emmy-winning role as Carmela Soprano on the television series "The Sopranos."
-
C.
Edith
Edith is a central, enigmatic female character in Leonard Cohen’s novel "Beautiful Losers," embodying themes of desire, spirituality, and cultural identity.
-
D.
Edith
Edith is a central character in Nathaniel Hawthorne's short story "The May-Pole of Merry Mount," symbolizing youthful joy and the conflict between pagan festivity and Puritan austerity.
-
E.
Edith
Edith is a fictional character who appears in the comic series "Edith and the Kingpin."
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f678698819091462b44ff3435f6 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa7e33c819084e5673a5fb8cac7 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.