Triple
T37819047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Paul & Mary Ford |
E942854
|
entity |
| Predicate | primaryRoleOfMaryFord |
P204407
|
FINISHED |
| Object | vocals |
—
|
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: vocals | Statement: [Les Paul & Mary Ford, primaryRoleOfMaryFord, vocals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRoleOfMaryFord Context triple: [Les Paul & Mary Ford, primaryRoleOfMaryFord, vocals]
-
A.
lizabethScottRole
Indicates that the subject is a role or character portrayed by Lizabeth Scott.
-
B.
roleOfElizabethII
Indicates that the specified role, position, or title is held by Elizabeth II.
-
C.
emphasizesRoleOfMaryAs
Indicates that something highlights or underscores Mary’s function, status, or identity in a particular role.
-
D.
PrincessElizabethRole
Indicates that an entity holds or is assigned the role or title associated with Princess Elizabeth in a given context.
-
E.
startTimeOfPosition:Private Secretary to Queen Elizabeth II
Indicates the point in time when an individual began serving in the position of Private Secretary to Queen Elizabeth II.
- F. None of above. chosen
Provenance (4 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.