Triple
T159866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Zimmerman |
E3258
|
entity |
| Predicate | teamRecordHeld |
P2722
|
FINISHED |
| Object | Washington Nationals career home runs leader |
—
|
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: Washington Nationals career home runs leader | Statement: [Ryan Zimmerman, teamRecordHeld, Washington Nationals career home runs leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamRecordHeld Context triple: [Ryan Zimmerman, teamRecordHeld, Washington Nationals career home runs leader]
-
A.
recordHeld
chosen
Indicates that one entity possesses or maintains a particular record associated with another entity or context.
-
B.
heldTallestStructureTitleUntil
Indicates that one structure held the title of being the tallest in a given context up to and including a specified end time.
-
C.
championshipDroughtLengthYears
Indicates the number of years that have elapsed since an entity last won a championship.
-
D.
heldTallestStructureTitleFrom
Indicates that an entity held the title of being the tallest structure for a specified time period starting from a given point.
-
E.
mostSuccessfulClub
Indicates that one club holds the highest level of success (e.g., by titles, achievements, or performance) compared to all other clubs in the given context.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25855baf48190a1b63f2e5865d957 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a25660c2a48190b4174d5e6da3cb9d |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.