Triple
T10290227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double X |
E241342
|
entity |
| Predicate | hasSluggingTitleCount |
P17266
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Double X, hasSluggingTitleCount, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSluggingTitleCount Context triple: [Double X, hasSluggingTitleCount, 5]
-
A.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
B.
hasTitlePun
Indicates that an entity’s title involves a pun or wordplay, typically combining multiple meanings or sounds for humorous or clever effect.
-
C.
battingTitleWins
chosen
Indicates the number of times a player has won a batting title in a given league or competition.
-
D.
battedTitle
Indicates that one entity served as the title or headline for another entity in a way that was prominently featured or “batted” (highlighted) in a media or publication context.
-
E.
hasSymbolicTitle
Indicates that an entity holds a title or designation that is primarily symbolic or honorary rather than functional or operational.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:41 a.m.