Triple
T18356551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Wanna Be Your Man |
E439810
|
entity |
| Predicate | recordedInEarly1960s |
P22765
|
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: [I Wanna Be Your Man, recordedInEarly1960s, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordedInEarly1960s Context triple: [I Wanna Be Your Man, recordedInEarly1960s, true]
-
A.
mainlyRecordedDuring
Indicates that an event, activity, or phenomenon was predominantly documented or captured within a specific time period or context.
-
B.
recordingEra
chosen
Indicates the historical time period or era during which the recording was made.
-
C.
containsEarlyBandRecordings
Indicates that something includes recordings made by a band during its early period or formative years.
-
D.
recordedInRelease
Indicates that an audio or media recording is included as part of a specific release (such as an album, single, or edition).
-
E.
placeOfRecording
Indicates the location where an audio, video, or other recording was made.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d776cc8190937d7e1d42a36a3b |
completed | April 19, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.