Triple
T14540125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Mark Sloan |
E341144
|
entity |
| Predicate | seriesRegularRunStartYear |
P10224
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Dr. Mark Sloan, seriesRegularRunStartYear, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesRegularRunStartYear Context triple: [Dr. Mark Sloan, seriesRegularRunStartYear, 1993]
-
A.
recordStartYear
Indicates the calendar year in which a particular record, entry, or data instance first began or was created.
-
B.
firstRunningYear
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
-
C.
firstSeriesYear
chosen
Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
-
D.
ongoingSeriesDebutYear
Indicates the calendar year in which an ongoing series first began or debuted.
-
E.
typicalStartYear
Indicates the year in which something (such as an event, activity, or process) usually or customarily begins.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bd0dd4819094c8b2f2aa6b1c5e |
completed | April 14, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.