Triple
T15356930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outsiders |
E367187
|
entity |
| Predicate | firstOngoingSeriesStartYear |
P100679
|
FINISHED |
| Object | 1983 |
—
|
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: 1983 | Statement: [Outsiders, firstOngoingSeriesStartYear, 1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOngoingSeriesStartYear Context triple: [Outsiders, firstOngoingSeriesStartYear, 1983]
-
A.
firstSeriesYear
Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
-
B.
ongoingSeriesDebutYear
chosen
Indicates the calendar year in which an ongoing series first began or debuted.
-
C.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
-
D.
firstAiredWithSeries
Indicates that an episode or installment was originally broadcast as part of the initial airing of a particular series.
-
E.
firstEpisodeSettingYear
Indicates the calendar year in which the first episode of a series or show is set.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2c00648190ae2325e1ee58dcfd |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.