Triple
T14728204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald Isley |
E345997
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | That Lady |
E441982
|
NE FINISHED |
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: That Lady | Statement: [Ronald Isley, notableWork, That Lady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: That Lady Context triple: [Ronald Isley, notableWork, That Lady]
-
A.
That Lady
chosen
"That Lady" is a 1973 funk and soul hit by The Isley Brothers, known for its distinctive guitar work and smooth, psychedelic groove.
-
B.
My Lady
"My Lady" is a formal, respectful mode of address traditionally used when speaking to or about a woman of noble rank, such as a marchioness.
-
C.
She’s a Lady
"She’s a Lady" is a popular song written by Paul Anka that became widely known through Tom Jones’s hit 1971 recording.
-
D.
Sweet Lady
"Sweet Lady" is a popular R&B single by Tyrese Gibson, released in 1998 and widely recognized as one of his signature songs.
-
E.
Brilliant Lady
Brilliant Lady is a modern cruise ship operated by Virgin Voyages, designed to offer an adults-only, boutique-style sailing experience.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26179688190ba9f3cd045da0e2a |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf09b1ff08190a8f88fa34d1656fb |
completed | May 8, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:29 a.m.