Triple
T32830927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argo |
E839686
|
entity |
| Predicate | questObjective |
P135262
|
FINISHED |
| Object | Golden Fleece |
—
|
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: Golden Fleece | Statement: [Argo, questObjective, Golden Fleece]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questObjective Context triple: [Argo, questObjective, Golden Fleece]
-
A.
expeditionObjective
Indicates the primary goal or purpose that an expedition is intended to achieve.
-
B.
secretObjective
Indicates that an entity has a hidden or undisclosed goal or target that is not known to others.
-
C.
objectOfQuest
chosen
Indicates that one entity is the target, goal, or item being sought or pursued in another entity’s quest or mission.
-
D.
pairedMissionObjective
Indicates that two mission objectives are linked or coupled so they are intended to be pursued, evaluated, or completed together as a coordinated unit.
-
E.
actorObjective
Indicates that an actor has a specific goal, purpose, or intended outcome in relation to another entity or situation.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:16 a.m.