Triple
T28738743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinnamon |
E730877
|
entity |
| Predicate | firstAppearsInEpisode |
P16444
|
FINISHED |
| Object | The Pulled Groin Extrapolation |
—
|
NE NERFINISHED |
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: The Pulled Groin Extrapolation | Statement: [Cinnamon, firstAppearsInEpisode, The Pulled Groin Extrapolation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearsInEpisode Context triple: [Cinnamon, firstAppearsInEpisode, The Pulled Groin Extrapolation]
-
A.
firstAppearanceEpisode
chosen
Indicates the specific episode in which an entity (such as a character or item) is shown or mentioned for the first time.
-
B.
firstAppearanceEpisodeNumber
Indicates the episode number in which an entity (such as a character or item) first appears.
-
C.
appearedInEpisodeOf
Indicates that one entity made an appearance in a specific episode belonging to a television or radio series associated with the other entity.
-
D.
firstAppearanceInAnimation
Indicates the specific animated work in which an entity is depicted for the first time.
-
E.
firstMentionedInSeries
Indicates the work, episode, or installment in a series where a given entity is introduced or appears for the first time.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_6a00532815c881908f10d9594458b3d7 |
completed | May 10, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_6a0052b9f030819081b8105bdcaf6d8f |
completed | May 10, 2026, 9:41 a.m. |
Created at: April 28, 2026, 6:01 a.m.