Triple
T9148475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renée Asherson |
E219521
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dorothy |
E70298
|
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: Dorothy | Statement: [Renée Asherson, givenName, Dorothy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorothy Context triple: [Renée Asherson, givenName, Dorothy]
-
A.
Dorothy
chosen
Dorothy is a feminine given name of Greek origin, meaning "gift of God," that has been widely used in English-speaking countries.
-
B.
Dorothy Gale
Dorothy Gale is the fictional young girl from Kansas who is swept away to the magical Land of Oz in L. Frank Baum’s classic children’s novel "The Wonderful Wizard of Oz."
-
C.
Dorothy Fay
Dorothy Fay was an American film actress best known for her roles in 1930s and 1940s Westerns and as the wife of actor Tex Ritter.
-
D.
The Wizard of Oz (character)
The Wizard of Oz (character) is the enigmatic and ultimately ordinary man from L. Frank Baum’s Oz stories who poses as a powerful wizard while secretly being a humbug from Kansas.
-
E.
Cindy Lou Who
Cindy Lou Who is the kind-hearted little girl from Dr. Seuss's "How the Grinch Stole Christmas!" whose innocence and compassion help transform the Grinch.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca91a1fd08190a5bb3d9280439b09 |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d04833858081909b616325f0e6f787 |
completed | April 3, 2026, 11:07 p.m. |
Created at: March 30, 2026, 7:20 p.m.