Triple
T8315910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It (Stephen King) |
E194705
|
entity |
| Predicate | otherForms |
P18099
|
FINISHED |
| Object | giant spider-like creature |
—
|
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: giant spider-like creature | Statement: [It (Stephen King), otherForms, giant spider-like creature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: otherForms Context triple: [It (Stephen King), otherForms, giant spider-like creature]
-
A.
formsIn
Indicates that one entity takes shape, develops, or comes into existence within or inside another entity.
-
B.
formsFor
Indicates that one entity constitutes the physical or structural makeup of another entity.
-
C.
alternativeForm
chosen
Indicates that one entity is an alternative version, variant, or representation of another entity.
-
D.
formsFrom
Indicates that one entity is created, derived, or takes shape as a result of another entity.
-
E.
formsWith
Indicates that one entity combines or associates with another to create or constitute a joint structure, group, or configuration.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f540b2081908ccb1b2ed040c74e |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:55 p.m.