Triple
T5694336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reynolds Woodcock |
E125498
|
entity |
| Predicate | setsHiddenMessagesIn |
P65998
|
FINISHED |
| Object | dresses he creates |
—
|
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: dresses he creates | Statement: [Reynolds Woodcock, setsHiddenMessagesIn, dresses he creates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsHiddenMessagesIn Context triple: [Reynolds Woodcock, setsHiddenMessagesIn, dresses he creates]
-
A.
dataHidden
Indicates that certain data is concealed, inaccessible, or not visible to users or systems under normal conditions.
-
B.
setsOut
Indicates that an entity begins a journey, course of action, or process, moving from an initial state or location toward a goal or destination.
-
C.
setsIn
Indicates that one entity places or positions another entity into or within a specified container, location, or context.
-
D.
hidesFrom
Indicates that one entity actively avoids being seen, detected, or encountered by another entity.
-
E.
hasHiddenImage
Indicates that an entity contains or is associated with an image that is not immediately visible or is intentionally concealed from normal view.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028fec2bc819083f5dca6a8d9d435 |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:45 p.m.