Triple
T21057432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbey Bartlet |
E518755
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Abbey |
—
|
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: Abbey | Statement: [Abbey Bartlet, nickname, Abbey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abbey Context triple: [Abbey Bartlet, nickname, Abbey]
-
A.
Abbey
chosen
Abbey is the familiar nickname of Abbey Bartlet, the fictional First Lady from the television series "The West Wing."
-
B.
Abbey
Abbey is a surname most notably associated with Edwin Austin Abbey, an American painter and illustrator known for his murals and illustrations of Shakespearean and Victorian subjects.
-
C.
Abbey
Abbey is a high-speed right-hand corner at the Silverstone Circuit, known as one of the opening and most challenging turns on the Formula 1 track.
-
D.
Abbey
Abbey is the abbreviated name of Abbey National, a former major British building society that became a bank.
-
E.
Abbeyé
Abbeyé is an alternative name for the Abé language, a Kwa language spoken primarily in Côte d'Ivoire.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd81434c8190aedfddf937f82322 |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:37 p.m.