Triple
T7057444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Boxing Hall of Fame |
E164128
|
entity |
| Predicate | typeOfInduction |
P13212
|
FINISHED |
| Object | lifetime achievement recognition |
—
|
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: lifetime achievement recognition | Statement: [World Boxing Hall of Fame, typeOfInduction, lifetime achievement recognition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfInduction Context triple: [World Boxing Hall of Fame, typeOfInduction, lifetime achievement recognition]
-
A.
inductionType
chosen
Indicates the specific method or process by which something is brought into a state, condition, or role (e.g., how an entity is initiated, introduced, or caused to occur).
-
B.
induction
Indicates the process by which one entity causes, initiates, or brings about a state, action, or condition in another.
-
C.
inducts
Indicates formally bringing someone into a group, organization, office, or honor by an official or ceremonial process.
-
D.
theoryType
Indicates the classification relationship that specifies what type or category of theory an entity belongs to.
-
E.
derivationType
Indicates the specific manner or process by which one entity is derived or obtained from another.
- 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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bdc1f08190975fcdbbb1854d1e |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:38 p.m.