Triple
T27540486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Straw Hat Pirates |
E695219
|
entity |
| Predicate | swordsman |
P162489
|
FINISHED |
| Object | Roronoa Zoro |
—
|
NE NERFINISHED |
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: Roronoa Zoro | Statement: [Straw Hat Pirates, swordsman, Roronoa Zoro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: swordsman Context triple: [Straw Hat Pirates, swordsman, Roronoa Zoro]
-
A.
swornSword
Indicates a formal oath of loyalty in which one entity pledges to serve and protect another as their sworn sword.
-
B.
swordsFeature
Indicates that something includes or prominently presents swords as a notable element or characteristic.
-
C.
swordsRepresent
Indicates that swords serve as symbols or stand-ins representing a particular idea, group, concept, or entity.
-
D.
ChineseCommander
Indicates that an individual holds a commander role within a Chinese military or armed forces context.
-
E.
tinctureOfSword
Indicates that something is a medicinal or alchemical tincture prepared from, associated with, or derived from a sword.
- 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62f5ddd908190b8ea190346ea26f1 |
completed | May 2, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69f623ac3a9c8190a6ee0c137b09e4b0 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f624c006788190a2f4d5015c96463f |
completed | May 2, 2026, 4:22 p.m. |
Created at: April 27, 2026, 1:30 p.m.