Triple
T7627923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lloyd Waner |
E172682
|
entity |
| Predicate | leagueLeaderIn |
P78187
|
FINISHED |
| Object | hits |
—
|
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: hits | Statement: [Lloyd Waner, leagueLeaderIn, hits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueLeaderIn Context triple: [Lloyd Waner, leagueLeaderIn, hits]
-
A.
leagueLeader
Indicates that the subject entity is currently ranked first or holds the top position within a specified league or competitive grouping.
-
B.
pointsLeader
Indicates that the subject entity is the current leader in points relative to other entities in a given context or competition.
-
C.
winsLeader
Indicates that one entity achieves victory or leadership over another in a competitive or comparative context.
-
D.
leaderSince
Indicates that an entity has held a leadership role over another entity starting from a specified point in time.
-
E.
topScorer
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6fe7323b0819081664662d2f26937 |
completed | March 27, 2026, 10:02 p.m. |
Created at: March 27, 2026, 3:56 p.m.