Triple
T16826936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waite Hoyt |
E409041
|
entity |
| Predicate | broadcastCareerStartYear |
P124992
|
FINISHED |
| Object | 1940s |
—
|
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: 1940s | Statement: [Waite Hoyt, broadcastCareerStartYear, 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastCareerStartYear Context triple: [Waite Hoyt, broadcastCareerStartYear, 1940s]
-
A.
playedCareerStartYear
Indicates the calendar year in which an entity’s playing career (such as a professional or competitive role) began.
-
B.
coachStartYear
Indicates the year in which a person began serving in a coaching role for a particular team or organization.
-
C.
clubCareerStart
Indicates the point in time when an entity begins its professional or organized club-level career.
-
D.
recordStartYear
Indicates the calendar year in which a particular record, entry, or data instance first began or was created.
-
E.
timePeriodOfDebut
Indicates the time period during which an entity first appeared, was introduced, or made its debut.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b31404c88190a3b2802842ca77eb |
completed | April 18, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b814b188190aee525f8779203cd |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e34fb7c8c8819086975b7955b7d8ef |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:23 a.m.