Triple
T7860062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael Palmeiro |
E182471
|
entity |
| Predicate | reasonForHallOfFameControversy |
P42781
|
FINISHED |
| Object | positive steroid test |
—
|
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: positive steroid test | Statement: [Rafael Palmeiro, reasonForHallOfFameControversy, positive steroid test]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForHallOfFameControversy Context triple: [Rafael Palmeiro, reasonForHallOfFameControversy, positive steroid test]
-
A.
roleInControversy
Indicates the specific part, involvement, or function an entity has within a particular controversy or disputed situation.
-
B.
controversialBecause
Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
-
C.
controversialAtTimeOfProposal
Indicates that the proposal was subject to significant disagreement, debate, or public dispute at the time it was put forward.
-
D.
controversyType
chosen
Indicates the specific kind or category of controversy associated with an entity or situation.
-
E.
locationOfControversy
Indicates the place or setting where a dispute, debate, or controversy occurs or is centered.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36bb6ca4819098bc00739e07cfc8 |
completed | March 31, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:53 p.m.