Triple
T32164879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruben Goetz |
E821537
|
entity |
| Predicate | storyFocusOn |
P86548
|
FINISHED |
| Object | Ruben Goetz |
—
|
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: Ruben Goetz | Statement: [Ruben Goetz, storyFocusOn, Ruben Goetz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storyFocusOn Context triple: [Ruben Goetz, storyFocusOn, Ruben Goetz]
-
A.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
B.
focusOf
chosen
Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
-
C.
episodeFocusOf
Indicates that a specific episode is the primary subject or focus of another entity, such as a discussion, analysis, or reference.
-
D.
seriesFocus
Indicates that one entity serves as the primary subject, theme, or focal point of a series created, presented, or organized by another entity.
-
E.
structureFocus
Indicates that attention or emphasis is placed on the structural aspects or organization of something within the described context.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 12:33 a.m.