Triple
T19888122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Tada of Higashikuni |
E477955
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tada |
—
|
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: Tada | Statement: [Prince Tada of Higashikuni, givenName, Tada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tada Context triple: [Prince Tada of Higashikuni, givenName, Tada]
-
A.
Tada
chosen
Tada is a Japanese given name component commonly used in masculine names.
-
B.
Tada-U
Tada-U is a town in central Myanmar located within the Mandalay Region, known for its proximity to Mandalay city and its role as a local administrative and transport hub.
-
C.
Ta Da
"Ta Da" is a song by American R&B singer Lil' Mo, known for showcasing her powerful vocals and emotive style.
-
D.
Ta-Dah
Ta-Dah is the second studio album by American pop duo Scissor Sisters, known for its glam-influenced dance-pop sound and the hit single "I Don't Feel Like Dancin'."
-
E.
Tad
Tad is an American grunge band from Seattle, known for their heavy, sludgy sound and association with the late-1980s/early-1990s Sub Pop scene.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590c1b9c8190abbfaa04b80713b3 |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.