Triple
T11542666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quick Play |
E273710
|
entity |
| Predicate | hasObjectiveTypes |
P99631
|
FINISHED |
| Object | Escort |
—
|
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: Escort | Statement: [Quick Play, hasObjectiveTypes, Escort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasObjectiveTypes Context triple: [Quick Play, hasObjectiveTypes, Escort]
-
A.
hasObjectTypes
Indicates that something is associated with one or more specific categories or types of objects.
-
B.
hasNumberOfTypes
Indicates that an entity is associated with a specific count of distinct types or categories it possesses or includes.
-
C.
usesObjective
Indicates that an agent employs or applies a particular object, tool, or resource to carry out an action or achieve a goal.
-
D.
hasComplianceObjective
Indicates that an entity is associated with, or aims to fulfill, a specific compliance-related objective or requirement.
-
E.
hasSignTypes
Indicates that an entity is associated with one or more specific types or categories of signs.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e09eec8190894069d86b79183d |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d80879fdb48190be6dacc8aa63c809 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:37 p.m.