Triple
T17490957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camptown Ladies |
E425907
|
entity |
| Predicate | hasRecordingHistory |
P127657
|
FINISHED |
| Object | recorded by numerous artists |
—
|
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: recorded by numerous artists | Statement: [Camptown Ladies, hasRecordingHistory, recorded by numerous artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecordingHistory Context triple: [Camptown Ladies, hasRecordingHistory, recorded by numerous artists]
-
A.
hasRecordingWith
Indicates that one entity is associated with or includes a particular recording as part of its content or representation.
-
B.
hasWritingHistory
Indicates that an entity has a recorded history or log of its writing-related actions, changes, or authored content over time.
-
C.
hasBroadcastHistoryWith
Indicates that two entities are connected through a record of past broadcast events involving both of them.
-
D.
hasHistoryIn
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
-
E.
hasRecordingContract
Indicates that an entity is formally bound by an agreement to produce recordings for another entity, typically a record label or similar organization.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d519488190a08da1b529c08445 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:48 a.m.