Triple
T19876245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archie Graham |
E477643
|
entity |
| Predicate | hasAgeDepiction |
P110301
|
FINISHED |
| Object | young adult |
—
|
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 adult | Statement: [Archie Graham, hasAgeDepiction, young adult]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAgeDepiction Context triple: [Archie Graham, hasAgeDepiction, young adult]
-
A.
ageDepictionConsistency
Indicates that the depicted age of an entity is consistent with its known or expected age within the given context.
-
B.
hasAgeClassification
chosen
Indicates that an entity is associated with a specific age-based category or grouping.
-
C.
hasAgeGuidelines
Indicates that there are specified age-related rules or recommendations governing how something should be accessed, used, or engaged with.
-
D.
containsAdultContent
Indicates that the referenced item includes material intended for adults, such as explicit sexual, violent, or otherwise age-restricted content.
-
E.
portraysFromAge
Indicates that one entity depicts another entity starting from a specified age of the depicted 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658db058c8190b7bf0b003ead5bfc |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.