Triple
T31100906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurie Juspeczyk |
E792668
|
entity |
| Predicate | ageInWatchmen |
P59141
|
FINISHED |
| Object | mid-20s (approximate) |
—
|
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: mid-20s (approximate) | Statement: [Laurie Juspeczyk, ageInWatchmen, mid-20s (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageInWatchmen Context triple: [Laurie Juspeczyk, ageInWatchmen, mid-20s (approximate)]
-
A.
hasAgeingProtagonist
Indicates that the work features a main character who is experiencing aging or the later stages of life as a central aspect of their role or development.
-
B.
ageInSeries
chosen
Indicates the age of an entity as it appears or is depicted within a specific series or installment of a work.
-
C.
ageInJurassicWorld
Indicates that an entity’s age is specified within the fictional context or timeline of the Jurassic World universe.
-
D.
ageInFallenKingdom
Indicates that one entity has a specified age during the time period or setting referred to as the Fallen Kingdom.
-
E.
ageInFirstAppearance
Indicates the age an entity was when it first appeared or was initially introduced in a given 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_69f224cf157c81909e2d2bd88c9282c3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:03 p.m.