Triple
T4609797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Serpent and the Rainbow |
E100525
|
entity |
| Predicate | bookSourceSubject |
P34305
|
FINISHED |
| Object | Haitian zombification practices |
—
|
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: Haitian zombification practices | Statement: [The Serpent and the Rainbow, bookSourceSubject, Haitian zombification practices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookSourceSubject Context triple: [The Serpent and the Rainbow, bookSourceSubject, Haitian zombification practices]
-
A.
book2Subject
Indicates that an entity serves as the subject or topic that a given book is about.
-
B.
book4Subject
chosen
Indicates that something is the subject or topic that a particular book is about.
-
C.
book3Subject
Indicates that an entity serves as the third subject or topic discussed or treated in a particular book.
-
D.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
-
E.
bookSelection
Indicates the act or result of choosing a particular book from a set of available options.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599f08d88190ad4bed8bafb592cd |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.