Triple
T20307437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caught a Lite Sneeze |
E510141
|
entity |
| Predicate | followedBySingle |
P134
|
FINISHED |
| Object | Talula |
—
|
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: Talula | Statement: [Caught a Lite Sneeze, followedBySingle, Talula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talula Context triple: [Caught a Lite Sneeze, followedBySingle, Talula]
-
A.
Talula
chosen
"Talula" is a baroque pop song by American singer-songwriter Tori Amos, known for its intricate piano work, eclectic production, and exploration of themes of femininity and identity.
-
B.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
C.
Tamela
Tamela is a feminine given name most notably borne by American gospel singer and actress Tamela Mann.
-
D.
Terêna
Terêna is an Arawakan language spoken by the Terena Indigenous people of Brazil, primarily in the state of Mato Grosso do Sul.
-
E.
Ta’aisha
The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e677411cf08190ba7e98a4135b643a |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:18 a.m.