Triple
T404574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heracles |
E9355
|
entity |
| Predicate | labour |
P11148
|
FINISHED |
| Object | obtaining the golden apples of the Hesperides |
—
|
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: obtaining the golden apples of the Hesperides | Statement: [Heracles, labour, obtaining the golden apples of the Hesperides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labour Context triple: [Heracles, labour, obtaining the golden apples of the Hesperides]
-
A.
labourWing
Indicates that an organization serves as the labor or trade union affiliate or arm of a larger political or social entity.
-
B.
laborSystem
Indicates the type or structure of work organization, employment arrangements, and labor relations that govern how work is performed and managed.
-
C.
laborProvision
Indicates the provision or supply of labor or workforce from one party to another for work or services.
-
D.
laborRelationsIssue
Indicates a relationship where there is a dispute, concern, or matter involving labor relations between workers (or their representatives) and employers.
-
E.
fieldOfWork
Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eca37fe881909802126952dfdd59 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e97066e8819083cc1b3a421b9650 |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea60e590819081779a6510918d9b |
completed | Feb. 28, 2026, 1:15 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.