Triple
T5744886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheena Shirley Orr |
E126705
|
entity |
| Predicate | fameBasis |
P43479
|
FINISHED |
| Object | hit single Morning Train (Nine to Five) |
—
|
LITERAL 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: hit single Morning Train (Nine to Five) | Statement: [Sheena Shirley Orr, fameBasis, hit single Morning Train (Nine to Five)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fameBasis Context triple: [Sheena Shirley Orr, fameBasis, hit single Morning Train (Nine to Five)]
-
A.
fameStatus
Indicates the level or state of public recognition or renown associated with an entity.
-
B.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
C.
claimToFame
chosen
Indicates the notable achievement, characteristic, or association for which an entity is best known.
-
D.
organFamousFor
Indicates that an organ is widely recognized or notable for a particular characteristic, function, or association.
-
E.
hasNotablePersonAsFace
Indicates that an entity is publicly represented or symbolized by a specific notable person, such as a spokesperson, ambassador, or brand face.
- F. None of above.
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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.