Triple
T3138231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruno Mars |
E65582
|
entity |
| Predicate | stageNameOrigin |
P38378
|
FINISHED |
| Object | nickname from his father inspired by wrestler Bruno Sammartino |
—
|
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: nickname from his father inspired by wrestler Bruno Sammartino | Statement: [Bruno Mars, stageNameOrigin, nickname from his father inspired by wrestler Bruno Sammartino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stageNameOrigin Context triple: [Bruno Mars, stageNameOrigin, nickname from his father inspired by wrestler Bruno Sammartino]
-
A.
stageNameDerivedFrom
chosen
Indicates that an entity’s stage name is derived from, based on, or taken from another specified name or source.
-
B.
stageName
Indicates that one entity is the performance or professional name used by another entity.
-
C.
stageOf
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
-
D.
firstStageName
Indicates that one entity is the initial or earliest stage name associated with another entity in a sequence or lifecycle.
-
E.
stagingStyle
Indicates how an event, performance, or scene is arranged, presented, or visually organized in a given context.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada574509c81908a88bb10ea35516d |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9df840088190a26a1516f4c1f056 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.