Triple
T2696984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Agnew of Lochnaw |
E58533
|
entity |
| Predicate | gazeDirection |
P41128
|
FINISHED |
| Object | towards the viewer |
—
|
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: towards the viewer | Statement: [Lady Agnew of Lochnaw, gazeDirection, towards the viewer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gazeDirection Context triple: [Lady Agnew of Lochnaw, gazeDirection, towards the viewer]
-
A.
locationOfVision
Indicates the place or setting where a vision or visual experience occurs or is perceived.
-
B.
eyeMigration
Indicates the movement or displacement of an eye (or eyes) from one position to another within an organism’s body or visual system.
-
C.
scanDirection
Indicates the direction or orientation in which a scanning action is performed or data is acquired.
-
D.
movementDirection
Indicates the direction or path along which an entity moves or is moving relative to a reference frame or point.
-
E.
approachDirection
Indicates the direction or bearing from which one entity moves closer to or advances toward another entity.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda3112108190a5e49c13368cf83f |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd879bb808190bd2c34de1664c816 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:55 p.m.