Triple
T29315814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic City |
E743371
|
entity |
| Predicate | policeForceLedBy |
P28731
|
FINISHED |
| Object | Chief Lin Beifong |
—
|
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: Chief Lin Beifong | Statement: [Republic City, policeForceLedBy, Chief Lin Beifong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeForceLedBy Context triple: [Republic City, policeForceLedBy, Chief Lin Beifong]
-
A.
lawEnforcementLead
Indicates that one entity serves as the primary person or organization in charge of directing or overseeing law enforcement activities related to another entity or situation.
-
B.
hasPoliceChief
chosen
Indicates that an entity has, is associated with, or is under the authority of a specific police chief.
-
C.
leadUSOfficer
Indicates that the subject serves as the primary U.S. officer in charge or commander over the object.
-
D.
chiefLieutenantOf
Indicates that one person serves as the primary subordinate or top-ranking assistant to another leader or authority figure.
-
E.
policeCharacter
Indicates that one entity serves as a police officer or law-enforcement figure in relation to another entity.
- 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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 28, 2026, 1:19 p.m.