Triple
T35953845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of My Love |
E1039800
|
entity |
| Predicate | labelForSteveLawrenceVersion |
P21560
|
FINISHED |
| Object | United Artists Records |
—
|
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: United Artists Records | Statement: [Portrait of My Love, labelForSteveLawrenceVersion, United Artists Records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelForSteveLawrenceVersion Context triple: [Portrait of My Love, labelForSteveLawrenceVersion, United Artists Records]
-
A.
labelForBeatlesVersion
Indicates that one item serves as the label or identifying tag specifically for a Beatles-related version of another item.
-
B.
labelForOriginalVersion
Indicates that something serves as the label or name assigned specifically to the original version of another entity.
-
C.
labelMarketingVersion
Indicates that one entity is designated as the marketing-facing version or name of another entity.
-
D.
labelOf
chosen
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
E.
licenceVersion
Indicates the specific version of a licence under which something is granted, used, or distributed.
- 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.