Triple
T30102700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Norton vs. Muhammad Ali II |
E765040
|
entity |
| Predicate | purseKenNorton |
P168451
|
FINISHED |
| Object | approximately $200000 |
—
|
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: approximately $200000 | Statement: [Ken Norton vs. Muhammad Ali II, purseKenNorton, approximately $200000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: purseKenNorton Context triple: [Ken Norton vs. Muhammad Ali II, purseKenNorton, approximately $200000]
-
A.
purse
Indicates attempting to influence or persuade someone to adopt a particular course of action, belief, or decision.
-
B.
purseType
Indicates the specific kind or category of purse associated with an entity.
-
C.
purseContext
Indicates the situational or environmental context in which a purse is used, referenced, or relevant.
-
D.
purseRecord
Indicates a record or log entry that captures the state, contents, or transactions associated with a purse or similar container of funds.
-
E.
purseGeorgeForeman
Indicates that an entity is pursuing, seeking, or going after George Foreman, typically in a competitive, legal, or goal-oriented context.
- F. None of above. chosen
Provenance (4 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d96e9288190ae7ec29f4752505c |
completed | May 2, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 7:08 p.m.