Triple
T28710244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Lewis May |
E729809
|
entity |
| Predicate | RudolphProtagonistTrait |
P171005
|
FINISHED |
| Object | red glowing nose |
—
|
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: red glowing nose | Statement: [Robert Lewis May, RudolphProtagonistTrait, red glowing nose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RudolphProtagonistTrait Context triple: [Robert Lewis May, RudolphProtagonistTrait, red glowing nose]
-
A.
RudolphNarrativeForm
Indicates a narrative relationship in which events or elements are structured according to the plot functions and sequence defined by Vladimir Propp’s Rudolph (narrative) form.
-
B.
RudolphTheme
chosen
Indicates that something serves as the central theme, subject, or focus related to Rudolph within a given context or work.
-
C.
RudolphOriginalMedium
Indicates that the specified medium is the original format or channel through which Rudolph was first created, presented, or distributed.
-
D.
hasReindeerHerding
Indicates that one entity engages in or possesses the activity, practice, or operation of herding reindeer in relation to another entity.
-
E.
roleInTheNightmareBeforeChristmas
Indicates the specific role or character that an entity has in the movie "The Nightmare Before Christmas."
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 28, 2026, 5:47 a.m.