Triple
T37128868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Templeton |
E919461
|
entity |
| Predicate | ageInTheBossBaby |
P140480
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Tim Templeton, ageInTheBossBaby, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageInTheBossBaby Context triple: [Tim Templeton, ageInTheBossBaby, 7]
-
A.
ageSystem
Indicates a relationship where one entity specifies or uses a particular system or standard for expressing age (e.g., calendar system, counting convention, or age-measurement method) for another entity.
-
B.
ageBased
Indicates a relationship or condition that depends on or is determined by the age of the entities involved.
-
C.
ageType
Indicates the specific categorization or classification of an age value (e.g., actual, estimated, range-based) associated with an entity.
-
D.
ageInVideo
chosen
Indicates the age of a person or entity at the time they appear in a specific video.
-
E.
ageRecord
Indicates that there exists a record specifying the age of an entity at a particular time or in a particular context.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.