Triple
T3610862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christina Unkel |
E76481
|
entity |
| Predicate | commentaryFocus |
P49937
|
FINISHED |
| Object | refereeing decisions |
—
|
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: refereeing decisions | Statement: [Christina Unkel, commentaryFocus, refereeing decisions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commentaryFocus Context triple: [Christina Unkel, commentaryFocus, refereeing decisions]
-
A.
commentaryOn
Indicates that one entity provides evaluative or explanatory remarks about another entity, such as a work, event, or statement.
-
B.
metaCommentaryOn
Indicates that one piece of content provides commentary, reflection, or analysis about another piece of content, often discussing its form, structure, or status as a work rather than its subject matter.
-
C.
focusType
Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
-
D.
article7FocusesOn
Indicates that the subject (e.g., Article 7) primarily addresses, concentrates on, or is dedicated to the topic or entity specified by the object.
-
E.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22cac3c8190bc5f7c45d31668c1 |
completed | March 8, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:23 p.m.