Triple
T1565073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Walking Dead: Daryl Dixon |
E33413
|
entity |
| Predicate | hasEpisodicStructure |
P20979
|
FINISHED |
| Object | serial narrative |
—
|
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: serial narrative | Statement: [The Walking Dead: Daryl Dixon, hasEpisodicStructure, serial narrative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEpisodicStructure Context triple: [The Walking Dead: Daryl Dixon, hasEpisodicStructure, serial narrative]
-
A.
hasEpisodeStructure
chosen
Indicates that one entity defines or possesses the episodic organization, sequencing, or structural pattern of another (such as a series, season, or narrative work).
-
B.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
-
C.
numberOfEpisodes
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
D.
hasEP
Indicates that an entity possesses, is associated with, or is characterized by a specific EP (e.g., an endpoint, event point, or designated EP resource) in the given context.
-
E.
includesSpecialEpisodes
Indicates that the subject collection or series contains one or more special, non-regular episodes.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90fccd4b48190a44012888a00af7f |
completed | March 5, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69a907b872f0819096b3df6ad502c63e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.