Triple
T14879751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabbar Trussell-Braverman |
E349966
|
entity |
| Predicate | hasAgeInSeries |
P59141
|
FINISHED |
| Object | young child |
—
|
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: young child | Statement: [Jabbar Trussell-Braverman, hasAgeInSeries, young child]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAgeInSeries Context triple: [Jabbar Trussell-Braverman, hasAgeInSeries, young child]
-
A.
ageInSeries
chosen
Indicates the age of an entity as it appears or is depicted within a specific series or installment of a work.
-
B.
hasAge
Indicates that an entity possesses a specific age value, typically expressed as a number of time units since its birth or creation.
-
C.
existsInAge
Indicates that an entity is present, valid, or active during a specified age or time period.
-
D.
isTeenagerInSeries
Indicates that an entity appears as a teenager within the context of a particular series.
-
E.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:55 a.m.