Triple
T34801567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murderers' Row |
E1003230
|
entity |
| Predicate | battingOrderCharacteristic |
P54625
|
FINISHED |
| Object | strong hitters throughout lineup |
—
|
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: strong hitters throughout lineup | Statement: [Murderers' Row, battingOrderCharacteristic, strong hitters throughout lineup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battingOrderCharacteristic Context triple: [Murderers' Row, battingOrderCharacteristic, strong hitters throughout lineup]
-
A.
battingOrderFlexibility
Indicates the degree to which the sequence of batters in a lineup can be rearranged or adjusted without violating rules or significantly reducing effectiveness.
-
B.
battingOrderRules
Indicates the rules or constraints that govern the sequence in which players are assigned to bat.
-
C.
battedInOrderWith
Indicates that two batters took their turns at the plate in the same batting order or sequence within a game or lineup.
-
D.
battingCharacteristics
Indicates the specific style, tendencies, or notable features of how an entity bats in a sporting context.
-
E.
battingStrength
chosen
Indicates the relative power or effectiveness of an entity’s batting performance in a 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77a89c4e88190a048e95d42b4a084 |
completed | May 3, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.