Triple
T222102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deacon Phillippe |
E4235
|
entity |
| Predicate | careerLosses |
P8293
|
FINISHED |
| Object | 109 |
—
|
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: 109 | Statement: [Deacon Phillippe, careerLosses, 109]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerLosses Context triple: [Deacon Phillippe, careerLosses, 109]
-
A.
loserPoints
Indicates the number of points awarded to or accumulated by the losing side in a competitive event or comparison.
-
B.
loserScore
Indicates the number of points or score achieved by the losing participant in a competitive event or comparison.
-
C.
careerHits
Indicates the total number of hits a player has accumulated over the course of their entire professional career.
-
D.
careerRunsScored
Indicates the total number of runs an entity has scored over the entire duration of their playing career.
-
E.
careerRBIs
Indicates the total number of runs a player has batted in over the course of their entire career.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c705fd88190bfee7f5e1f7cee17 |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5617788190814358aee3f7ae37 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25c2bda788190bcfc0bc94686f9e0 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.