Triple
T35365446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eli Roth's History of Horror |
E1021615
|
entity |
| Predicate | season1InitialTopic |
P52465
|
FINISHED |
| Object | zombies |
—
|
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: zombies | Statement: [Eli Roth's History of Horror, season1InitialTopic, zombies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: season1InitialTopic Context triple: [Eli Roth's History of Horror, season1InitialTopic, zombies]
-
A.
season1Subject
chosen
Indicates that the subject is associated with or serves as the primary topic or focus of the first season of a series or show.
-
B.
season2Subject
Indicates that the subject is associated with or pertains to the second season of a series, event, or recurring entity.
-
C.
season3Subject
Indicates that the subject is associated with or pertains to the third season of a series or recurring event.
-
D.
season4Subject
Indicates that one entity serves as the subject or main focus of the fourth season of another entity (such as a series or show).
-
E.
season1Subtitle
Indicates that one entity is the subtitle or subheading associated specifically with the first season of 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_69f76df000488190ab7c97f565677055 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 3, 2026, 4:03 p.m.