Triple
T33959599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casey Tibbs |
E870673
|
entity |
| Predicate | worldBarebackTitles |
P71562
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Casey Tibbs, worldBarebackTitles, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldBarebackTitles Context triple: [Casey Tibbs, worldBarebackTitles, 1]
-
A.
worldTitles
chosen
Indicates that an entity has won one or more world championship titles in a given field or competition.
-
B.
WICCtitles
Indicates a relationship where an entity holds or is associated with one or more titles within the WICC (or similarly named) classification or organizational system.
-
C.
categoryOfWorldTitles
Indicates that one entity is a classification or type under which the other entity’s world titles or world championship honors are grouped.
-
D.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
E.
backToBackTitles
Indicates that an entity has won titles in consecutive periods (such as seasons, years, or competitions) without interruption.
- 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
Created at: May 1, 2026, 1:49 a.m.