Triple
T10846904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4*Town |
E256034
|
entity |
| Predicate | hasFictionalRecordLabel |
P96045
|
FINISHED |
| Object | 4*Town’s management (unnamed in film) |
—
|
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: 4*Town’s management (unnamed in film) | Statement: [4*Town, hasFictionalRecordLabel, 4*Town’s management (unnamed in film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalRecordLabel Context triple: [4*Town, hasFictionalRecordLabel, 4*Town’s management (unnamed in film)]
-
A.
hasRecordLabel
Indicates that an entity (typically a musical artist or release) is associated with or signed to a particular record label.
-
B.
ownedRecordLabel
Indicates that one entity previously possessed legal ownership or controlling interest in a particular record label.
-
C.
hasRecordingLabel
Indicates that an entity (such as an artist or release) is associated with a particular recording label that publishes or distributes its music.
-
D.
hasIndependentLabelReleases
Indicates that an entity has released works through one or more independent (non-major) record labels.
-
E.
recordLabelForNotableRecording
Indicates that a record label is responsible for producing, releasing, or prominently associated with a particular notable recording.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75113bc188190ac78df0c51d95de6 |
completed | April 9, 2026, 7:11 a.m. |
| PD | Predicate disambiguation | batch_69d70d2b51448190bae748ed6c23edde |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101c96708190808fef73199e8482 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:20 p.m.