Triple
T23220529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edyth Susie Herbst |
E580877
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Edyth |
—
|
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: Edyth | Statement: [Edyth Susie Herbst, hasGivenName, Edyth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edyth Context triple: [Edyth Susie Herbst, hasGivenName, Edyth]
-
A.
Edyth
chosen
Edyth is a feminine given name, typically considered a less common spelling variant of Edith.
-
B.
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.
-
C.
Edith
Edith is the given name of Edith Mary Pargeter, the English author best known for her historical crime novels written under the pen name Ellis Peters.
-
D.
Edith
Edith is a central character in John Irving’s novel "The 158-Pound Marriage," involved in the book’s complex exploration of marriage, sexuality, and partner-swapping.
-
E.
Edith
Edith is one of Gru’s adopted daughters in the Despicable Me franchise, recognizable by her pink hat and mischievous, tomboyish personality.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1916870148190853874e6cf26bbc7 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:08 p.m.