Triple
T14991692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debra |
E373849
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Debbie |
E529988
|
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: Debbie | Statement: [Debra, hasDiminutive, Debbie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debbie Context triple: [Debra, hasDiminutive, Debbie]
-
A.
Debbie
chosen
Debbie is the fictional lead character portrayed by Debbie Reynolds in the American sitcom "The Debbie Reynolds Show."
-
B.
Debra
Debra is a central character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a futuristic, reputation-based society at Disney World.
-
C.
Debra
Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
-
D.
Debra
Debra is a troubled, introspective teenage employee at the independent record store in the 1995 cult film "Empire Records."
-
E.
Debi
Debi is a feminine given name most notably associated with American actress Debi Mazar.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded715db408190b44e8a8452c79764 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dc7f4b48190b95af06d443fa37c |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 10, 2026, 2:53 a.m.