Triple
T33800050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ExComm |
E866190
|
entity |
| Predicate | recordingsKnownAs |
P194200
|
FINISHED |
| Object | ExComm tapes |
—
|
NE NERFINISHED |
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: ExComm tapes | Statement: [ExComm, recordingsKnownAs, ExComm tapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingsKnownAs Context triple: [ExComm, recordingsKnownAs, ExComm tapes]
-
A.
recordingsFrom
Indicates a relationship where one entity serves as the source or origin of recordings that are associated with or derived from it.
-
B.
isPopularRecordingOf
Indicates that one entity is a widely known or frequently enjoyed version or performance of another work, such as a song or composition.
-
C.
recordingOf
Indicates that one entity is an audio or video capture or performance that documents, represents, or preserves another entity (such as a work, event, or expression).
-
D.
originalCastRecordingReleaseDate
Indicates the date on which the original cast recording of a production was first released.
-
E.
numberOfKnownRecordings
Indicates the total count of recordings of an entity that are currently known or documented.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
| PDg | Predicate description generation | batch_69fd67182c348190aa84a02e08dbf4e1 |
completed | May 8, 2026, 4:31 a.m. |
Created at: May 1, 2026, 1:46 a.m.