Triple
T29247534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duck King |
E741477
|
entity |
| Predicate | combatCharacteristics |
P107524
|
FINISHED |
| Object | acrobatic |
—
|
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: acrobatic | Statement: [Duck King, combatCharacteristics, acrobatic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combatCharacteristics Context triple: [Duck King, combatCharacteristics, acrobatic]
-
A.
militaryCharacteristic
Indicates that one entity possesses a specific military-related attribute, quality, or feature in relation to another entity or context.
-
B.
battleCharacteristic
chosen
Indicates a relationship where a specific trait, quality, or feature is attributed to a battle or combat scenario.
-
C.
squadCharacteristic
Indicates that a particular characteristic, trait, or property is attributed to a squad as a whole.
-
D.
featuresFictionalUnit
Indicates that something includes or presents a fictional unit (such as a character, group, or organization) as part of its content or structure.
-
E.
factionCharacteristic
Indicates that a particular characteristic, trait, or property is associated with or defines a given faction.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 12:33 p.m.