Triple
T32191555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Goodman |
E822268
|
entity |
| Predicate | appearsInEpisodeNumber |
P191981
|
FINISHED |
| Object | 22 |
—
|
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: 22 | Statement: [Les Goodman, appearsInEpisodeNumber, 22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInEpisodeNumber Context triple: [Les Goodman, appearsInEpisodeNumber, 22]
-
A.
appearedInEpisodeOf
Indicates that one entity made an appearance in a specific episode belonging to a television or radio series associated with the other entity.
-
B.
appearsInEpisodeType
Indicates that an entity is featured in, or associated with, a specific type or category of episode.
-
C.
appearsInSeriesEntryNumber
chosen
Indicates the specific installment or sequence number within a series in which an entity appears.
-
D.
appearsInSeries
Indicates that an entity is featured or occurs within a particular series.
-
E.
appearsInEpisodeCountType
Indicates the type or category used to quantify how many episodes an entity appears in.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 1, 2026, 12:35 a.m.