Triple
T34984350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shameless |
E1008899
|
entity |
| Predicate | followsCharacterAdventures |
P66020
|
FINISHED |
| Object | Harry Dresden |
—
|
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: Harry Dresden | Statement: [Shameless, followsCharacterAdventures, Harry Dresden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsCharacterAdventures Context triple: [Shameless, followsCharacterAdventures, Harry Dresden]
-
A.
characterFollowed
Indicates that one character moves or acts after another character, maintaining pursuit or close succession.
-
B.
followsCharacter
Indicates that one character moves or acts after another character, maintaining a trailing or subsequent position or sequence relative to them.
-
C.
followsCharacterDevelopmentOf
Indicates that one entity’s narrative progression or growth is modeled on, parallels, or traces the character development arc of another entity.
-
D.
followsCharactersAcross
chosen
Indicates that one entity persistently tracks or accompanies specific characters as they move or act across different scenes, locations, or contexts.
-
E.
followsCharactersFrom
Indicates that one entity continues or tracks the narrative, actions, or developments involving specific characters from another entity.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fedfd913f48190bdcd450980868d9a |
completed | May 9, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fedf58c6e88190821a7156054c9086 |
completed | May 9, 2026, 7:16 a.m. |
Created at: May 3, 2026, 4:01 p.m.