Triple
T38389169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Out of Doors |
E899660
|
entity |
| Predicate | movementNumberOf "The Chase" |
P12040
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Out of Doors, movementNumberOf "The Chase", 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementNumberOf "The Chase" Context triple: [Out of Doors, movementNumberOf "The Chase", 5]
-
A.
hasChaseSequence
Indicates that one entity pursues another in a continuous or dynamic chase sequence.
-
B.
chasesAcross
Indicates that one entity actively pursues another entity while moving from one side or area to another across some intervening space or surface.
-
C.
carChaseLocation
Indicates the location where a car chase takes place or is occurring.
-
D.
chases
Indicates that one entity actively pursues another, typically moving after it in an attempt to catch or reach it.
-
E.
movementNumber
chosen
Indicates the specific sequential position of a movement within a larger multi-movement work or performance.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: May 3, 2026, 4:31 p.m.