Triple
T8979047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Alvarez |
E214472
|
entity |
| Predicate | ageRangeInSeries |
P2736
|
FINISHED |
| Object | early teens |
—
|
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: early teens | Statement: [Alex Alvarez, ageRangeInSeries, early teens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageRangeInSeries Context triple: [Alex Alvarez, ageRangeInSeries, early teens]
-
A.
ageInSeries
Indicates the age of an entity as it appears or is depicted within a specific series or installment of a work.
-
B.
ageRange
chosen
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
C.
numberOfAges
Indicates the count of distinct ages associated with an entity or within a specified group or context.
-
D.
ageInPlay
Indicates that an entity’s age is relevant or applicable within the context of a particular play, game, or interactive scenario.
-
E.
portraysAgeGroup
Indicates that one entity depicts or represents another entity as belonging to a particular age group.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a4b3e88190b778a9b5589cab6d |
completed | April 1, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:03 p.m.