Triple
T22930045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Quiet Place film series |
E569409
|
entity |
| Predicate | monsterOrigin |
P108465
|
FINISHED |
| Object | extraterrestrial creatures |
—
|
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: extraterrestrial creatures | Statement: [A Quiet Place film series, monsterOrigin, extraterrestrial creatures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monsterOrigin Context triple: [A Quiet Place film series, monsterOrigin, extraterrestrial creatures]
-
A.
antagonistOrigin
chosen
Indicates the source, background, or cause from which an antagonist or opposing force arises in relation to another entity or narrative.
-
B.
monsterCharacteristic
Indicates that a monster possesses a particular attribute, trait, or quality.
-
C.
originSpecies
Indicates that one entity is the original or source species from which another entity is derived, evolved, or produced.
-
D.
protagonistOrigin
Indicates that one entity is the origin, source, or starting point of the protagonist in a narrative or story.
-
E.
mythicalBirthplaceOf
Indicates the legendary or mythological location where an entity is said to have originated or been born.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180dc33e8819099e5ad87207de57f |
completed | April 29, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:44 p.m.