Triple
T29667874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Blatt |
E750580
|
entity |
| Predicate | startTimeOfCoachingClevelandCavaliers |
P121291
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [David Blatt, startTimeOfCoachingClevelandCavaliers, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfCoachingClevelandCavaliers Context triple: [David Blatt, startTimeOfCoachingClevelandCavaliers, 2014]
-
A.
coachCavaliers
Indicates that a person serves as a coach for the Cleveland Cavaliers basketball team.
-
B.
CavaliersTenureStart
chosen
Indicates the time point at which an entity’s tenure with the Cavaliers organization begins.
-
C.
CavaliersTenureEnd
Indicates the point in time or event when an entity’s tenure with the Cavaliers organization comes to an end.
-
D.
coachingTenureAtOhioStateStart
Indicates the date on which an individual’s coaching tenure at Ohio State University began.
-
E.
coachOfTeamLeBronFranchiseAtTime
Indicates that a person serves as the coach of the Team LeBron franchise during a specified time 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_69f0d62418a08190a401b127adf9f8a6 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
Created at: April 28, 2026, 7:02 p.m.