Triple
T13714835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles Dodgers Legends of Dodger Baseball |
E328869
|
entity |
| Predicate | firstInductionClass |
P24265
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Los Angeles Dodgers Legends of Dodger Baseball, firstInductionClass, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstInductionClass Context triple: [Los Angeles Dodgers Legends of Dodger Baseball, firstInductionClass, 2019]
-
A.
firstYear
Indicates that an entity is in its first year of existence, operation, or participation within a specified context.
-
B.
firstTaughtIn
Indicates the time or place at which something (such as a concept, subject, or course) was initially taught or introduced in an instructional context.
-
C.
firstInductions
chosen
Indicates that the subject entity represents the earliest or initial instances in a series of inductions associated with the object entity.
-
D.
firstClassAwardedTo
Indicates that a first-class distinction, honor, or top-level award is given to a particular recipient.
-
E.
firstYearComponent
Indicates that something is a component or part that belongs to, occurs in, or is specifically associated with the first year of a larger sequence, program, or period.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43973cf08190a417d0cca9dd314a |
completed | April 13, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.