Triple
T32171734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Brick Breeland |
E821724
|
entity |
| Predicate | seriesLastAirYear |
P167064
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Dr. Brick Breeland, seriesLastAirYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesLastAirYear Context triple: [Dr. Brick Breeland, seriesLastAirYear, 2015]
-
A.
ongoingSeriesEndYear
Indicates the year in which an ongoing series is expected or scheduled to end.
-
B.
appearsInSeriesEndYear
Indicates the year in which an entity’s appearance in a particular series concludes or is last featured.
-
C.
seriesOriginalRunEndYear
chosen
Indicates the calendar year in which a television or media series originally concluded its first run of episodes.
-
D.
firstOngoingSeriesEndYear
Indicates the calendar year in which an entity’s first ongoing series is scheduled or expected to end.
-
E.
seriesYear
Indicates the year in which a series (such as a TV show, book series, or event series) is released, set, or primarily associated.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 1, 2026, 12:33 a.m.