Triple
T31239323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ParaNorman |
E796512
|
entity |
| Predicate | featuresWitches |
P202239
|
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, featuresWitches, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresWitches Context triple: [ParaNorman, featuresWitches, yes]
-
A.
featuresMagicSystem
Indicates that a work includes or is built around a defined system of magic or supernatural powers.
-
B.
featuresHouseElf
Indicates that something includes or prominently involves a house elf as part of its content or composition.
-
C.
fightsWitchesIn
Indicates that one entity engages in combat against witches within a specified location or context.
-
D.
featuresMermaids
Indicates that something includes or prominently presents mermaids as part of its content, composition, or subject matter.
-
E.
portraysFictionalCoven
Indicates that an entity depicts or represents a fictional coven, typically in a narrative or artistic context.
- F. None of above. chosen
Provenance (4 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_6a0064f8efa48190956287f548a8057d |
completed | May 10, 2026, 10:59 a.m. |
| PD | Predicate disambiguation | batch_6a006471e75c8190adae99bd75e7411b |
completed | May 10, 2026, 10:56 a.m. |
| PDg | Predicate description generation | batch_6a0064f8496081908ac3bb4c53ed08aa |
completed | May 10, 2026, 10:59 a.m. |
Created at: April 29, 2026, 9:11 p.m.