Triple
T31207687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the brother of Jared |
E795645
|
entity |
| Predicate | problemFaced |
P13650
|
FINISHED |
| Object | lack of light in the barges |
—
|
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: lack of light in the barges | Statement: [the brother of Jared, problemFaced, lack of light in the barges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: problemFaced Context triple: [the brother of Jared, problemFaced, lack of light in the barges]
-
A.
facingIssue
chosen
Indicates that an entity is currently experiencing, encountering, or dealing with a problem, difficulty, or obstacle.
-
B.
problemStatement
Indicates that an entity presents, defines, or expresses a specific problem or issue to be addressed.
-
C.
problems
Indicates that one entity has issues, difficulties, or complications associated with or caused by another entity.
-
D.
problemType
Indicates the specific category or classification of a problem within a defined problem space or system.
-
E.
correctedProblem
Indicates that one entity has fixed or amended an error or issue present in 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_69f224d8c6608190b7882466521f62be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c24de048190973b05290ff5c404 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f696673214819094350e1d2648ef34 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:09 p.m.