Triple
T21308480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Holland |
E525263
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Barb |
—
|
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: Barb | Statement: [Barbara Holland, nickname, Barb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barb Context triple: [Barbara Holland, nickname, Barb]
-
A.
Barb
Barb is a resident of the fictional coastal town of Beach City in the animated television series "Steven Universe."
-
B.
Barbara Barb
Barbara Barb was the wife of American cartoonist Charles Addams, creator of the macabre Addams Family.
-
C.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
-
D.
Barbara
chosen
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
E.
Bobbie
Bobbie is a character in the 1971 drama film "Carnal Knowledge," which explores the evolving sexual and emotional relationships of two college friends over several decades.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa863688190a5e45248e31eec88 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:06 p.m.