Triple
T22263371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teresa Weatherspoon |
E550286
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | T-Spoon |
—
|
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: T-Spoon | Statement: [Teresa Weatherspoon, nickname, T-Spoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T-Spoon Context triple: [Teresa Weatherspoon, nickname, T-Spoon]
-
A.
T-Spoon
chosen
T-Spoon is the nickname of Teresa Weatherspoon, a former WNBA star point guard and Hall of Famer known for her defensive prowess and clutch play.
-
B.
T-Spize
T-Spize is a Nigerian music producer known for crafting hit Afrobeat and contemporary pop tracks for prominent artists.
-
C.
Croon-Spoon
"Croon-Spoon" is a song from the 1937 political musical *The Cradle Will Rock* by Marc Blitzstein.
-
D.
Tizer
Tizer is a British carbonated soft drink, known for its bright red color and fruity flavor, produced by the drinks company A.G. Barr.
-
E.
Toupies
Toupies is an astronomical survey project linked to the ESPaDOnS spectropolarimeter, focused on studying the properties and evolution of stars.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141b94a688190b17c55477993a745 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:39 p.m.