Triple
T1920490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boss |
E40113
|
entity |
| Predicate | associatedWithRecognition |
P753
|
FINISHED |
| Object | Rock and Roll Hall of Fame induction |
—
|
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: Rock and Roll Hall of Fame induction | Statement: [The Boss, associatedWithRecognition, Rock and Roll Hall of Fame induction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithRecognition Context triple: [The Boss, associatedWithRecognition, Rock and Roll Hall of Fame induction]
-
A.
recognizedAlongside
Indicates that two or more entities are acknowledged, identified, or honored together in the same context or occasion.
-
B.
recognizedFor
chosen
Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
-
C.
recognizedThrough
Indicates that something becomes known, identified, or acknowledged by means of a particular method, medium, or process.
-
D.
associatedWithFlag
Indicates a relationship where an entity is linked or connected to a particular flag, such as a national, organizational, or symbolic banner.
-
E.
associatedWithText
Indicates that an entity has a contextual or semantic connection to a specific piece of text.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb213af0481909429ec971860a3fd |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafed2ab481908920334e77b1021b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.