Triple
T31352091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Dat Ninja |
E799622
|
entity |
| Predicate | appearsInEpisodeUniverse |
P113555
|
FINISHED |
| Object | multiple references across 30 Rock |
—
|
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: multiple references across 30 Rock | Statement: [Who Dat Ninja, appearsInEpisodeUniverse, multiple references across 30 Rock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInEpisodeUniverse Context triple: [Who Dat Ninja, appearsInEpisodeUniverse, multiple references across 30 Rock]
-
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.
appearsInExpandedUniverse
chosen
Indicates that an entity is featured or takes part in stories, media, or content belonging to an extended or non-mainline universe related to a primary canon.
-
D.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
E.
appearsInContinuity
Indicates that an entity is part of, or occurs within, a specific narrative continuity or canon timeline.
- 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_69f224e5e9bc8190a16339328897c4f8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: April 29, 2026, 9:17 p.m.