Triple
T35324992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chad Warwick |
E1020154
|
entity |
| Predicate | appearsInStoryline |
P795
|
FINISHED |
| Object | Murder House |
—
|
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: Murder House | Statement: [Chad Warwick, appearsInStoryline, Murder House]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInStoryline Context triple: [Chad Warwick, appearsInStoryline, Murder House]
-
A.
appearsInShortStoryBy
Indicates that one entity is a character, element, or subject that appears within a short story authored by another entity.
-
B.
appearsInNarrativeStyle
Indicates that one entity is presented or expressed using the narrative style, voice, or storytelling mode associated with another entity.
-
C.
appearsIn
chosen
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
D.
activeDuringStoryline
Indicates that an entity is active or relevant throughout the duration of a specified storyline or narrative arc.
-
E.
appearsInCutscenes
Indicates that the entity is featured or shown within one or more cutscene sequences.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: May 3, 2026, 4:03 p.m.