Triple
T11195341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1922 World Series title |
E264906
|
entity |
| Predicate | backToBackTitles |
P97793
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [1922 World Series title, backToBackTitles, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backToBackTitles Context triple: [1922 World Series title, backToBackTitles, yes]
-
A.
reboundTitles
Indicates that one entity has regained or reclaimed titles or championships previously lost to another entity.
-
B.
previousSingleTitle
Indicates that the referenced title is the immediately preceding single released before the current one.
-
C.
previousTitle
Indicates that one title held or used by an entity directly preceded another title in sequence or time.
-
D.
titles
Indicates that one entity holds a formal title, designation, or name associated with another entity.
-
E.
titleThrough
Indicates a relationship where one entity holds or is identified by a specific title by means of, or via the mediation of, another entity or 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8bf14e481908563b15790af4d20 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.