Triple
T32011083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey Cheyne Jr. |
E817402
|
entity |
| Predicate | employerOnVessel |
P13018
|
FINISHED |
| Object | Disko Troop |
—
|
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: Disko Troop | Statement: [Harvey Cheyne Jr., employerOnVessel, Disko Troop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employerOnVessel Context triple: [Harvey Cheyne Jr., employerOnVessel, Disko Troop]
-
A.
shipCompany
Indicates that one entity is the shipping company responsible for transporting goods or providing shipping services for another entity.
-
B.
usesVesselsOperatedBy
Indicates that one entity makes use of vessels that are operated or controlled by another entity.
-
C.
hasShipOwner
Indicates that a ship is owned by a particular person or organization.
-
D.
namedVesselOf
Indicates that one entity is the specific named vessel (e.g., ship, boat, or craft) associated with or belonging to another entity.
-
E.
operatesVessel
chosen
Indicates that an agent is responsible for controlling, managing, or running the operation of a vessel.
- 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: May 1, 2026, 12:15 a.m.