Triple
T30472190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fabled City (early version) |
E775334
|
entity |
| Predicate | hasRecordingStatus |
P94748
|
FINISHED |
| Object | rough recording |
—
|
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: rough recording | Statement: [The Fabled City (early version), hasRecordingStatus, rough recording]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecordingStatus Context triple: [The Fabled City (early version), hasRecordingStatus, rough recording]
-
A.
hasRecordingWith
Indicates that one entity is associated with or includes a particular recording as part of its content or representation.
-
B.
hasLiveRecordingFrom
Indicates that a live recording was made of something (e.g., a work, performance, or event) at or from a specified source, venue, or occasion.
-
C.
recordingState
chosen
Indicates the current status or condition of an ongoing or potential recording (e.g., whether recording is active, paused, or stopped) between entities.
-
D.
hasRecordingLegacy
Indicates that an entity is associated with a historical or prior version of a recording, capturing its legacy or earlier state.
-
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.
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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a007aa8d3a481908543f9b5d562a90c |
completed | May 10, 2026, 12:31 p.m. |
| PD | Predicate disambiguation | batch_6a007a44996481908688ccfdbc56511d |
completed | May 10, 2026, 12:29 p.m. |
Created at: April 29, 2026, 8:11 p.m.