Triple
T3520195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octopus (yacht) |
E74402
|
entity |
| Predicate | hasRecordingStudio |
P48509
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Octopus (yacht), hasRecordingStudio, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecordingStudio Context triple: [Octopus (yacht), hasRecordingStudio, true]
-
A.
hasStudio
Indicates that an entity (such as a film, game, or production) is associated with or produced by a particular studio.
-
B.
hasRecordingLabel
Indicates that an entity (such as an artist or release) is associated with a particular recording label that publishes or distributes its music.
-
C.
academyAwardForBestSoundRecordingStudio
Indicates that an entity received the Academy Award specifically for excellence in sound recording achieved at a particular studio.
-
D.
placeOfRecording
Indicates the location where an audio, video, or other recording was made.
-
E.
filmingStudio
Indicates that a studio is responsible for producing or filming a particular audiovisual work.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc4af70c8190a7471f28e1efd7fd |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed74ecc8190b74dc70ab59a3e1c |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:19 p.m.