Triple
T863840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dont Look Back |
E18655
|
entity |
| Predicate | editingStyle |
P20443
|
FINISHED |
| Object | observational |
—
|
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: observational | Statement: [Dont Look Back, editingStyle, observational]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editingStyle Context triple: [Dont Look Back, editingStyle, observational]
-
A.
structureStyle
Indicates the architectural or design style characterizing how a structure is built or formed.
-
B.
scriptStyle
Indicates that one entity specifies or characterizes the stylistic form or manner of a script associated with another entity.
-
C.
marginStyle
Indicates how the margins around an element are styled or configured in relation to surrounding content.
-
D.
symbolicStyle
Indicates that one entity employs or is characterized by a particular symbolic or emblematic style defined by the other entity.
-
E.
operatorStyle
Indicates the manner or approach an operator uses to perform or manage an operation, such as their method, technique, or behavioral style in carrying out tasks.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac6956488190a5644cdd5b55684f |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa86065881909d477e26fdd84d45 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab797b1081908f034d216649bb83 |
completed | March 1, 2026, 9:11 p.m. |
Created at: March 1, 2026, 7:39 p.m.