Triple
T8484164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Charlie Brown Christmas |
E200791
|
entity |
| Predicate | firstPeanutsTelevisionSpecial |
P83534
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [A Charlie Brown Christmas, firstPeanutsTelevisionSpecial, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPeanutsTelevisionSpecial Context triple: [A Charlie Brown Christmas, firstPeanutsTelevisionSpecial, true]
-
A.
firstAiredOnNBC
Indicates that the subject (e.g., a show or episode) had its initial broadcast on the NBC television network.
-
B.
firstAppearanceInAnimation
Indicates the specific animated work in which an entity is depicted for the first time.
-
C.
firstTelevisionProgram
Indicates that the subject entity is the earliest or initial television program associated with the object entity (such as a person, channel, or series).
-
D.
firstEpisode
Indicates that one entity is the initial or earliest episode in the series or sequence associated with another entity.
-
E.
firstBroadcastSeries
Indicates that one series was the first to be broadcast within a particular context, channel, or sequence of series.
- F. None of above. chosen
Provenance (4 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe539b70c81909f8f045312f0d5f8 |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:12 p.m.