Triple
T31239324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ParaNorman |
E796512
|
entity |
| Predicate | featuresZombies |
P18264
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [ParaNorman, featuresZombies, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresZombies Context triple: [ParaNorman, featuresZombies, yes]
-
A.
featuresMonster
chosen
Indicates that something includes or prominently presents a monster as part of its content or composition.
-
B.
featuresFictionalVirus
Indicates that a work includes or depicts a fictional virus as part of its content or storyline.
-
C.
featuresAlien
Indicates that something includes, presents, or prominently involves an alien or extraterrestrial being.
-
D.
featuresMortal
Indicates that one entity includes, presents, or prominently involves a mortal being as part of its content, composition, or subject matter.
-
E.
featuresDeath
Indicates that the subject includes, depicts, or involves a death or deaths as a notable element.
- 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_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0067cde0f08190b2cd93af5f00d519 |
completed | May 10, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_6a0065820c8c8190994734433c64a30a |
completed | May 10, 2026, 11:01 a.m. |
Created at: April 29, 2026, 9:11 p.m.