Triple
T38481514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael De Santa |
E915688
|
entity |
| Predicate | ageInGame |
P70608
|
FINISHED |
| Object | around 48 |
—
|
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: around 48 | Statement: [Michael De Santa, ageInGame, around 48]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageInGame Context triple: [Michael De Santa, ageInGame, around 48]
-
A.
ageInPlay
chosen
Indicates that an entity’s age is relevant or applicable within the context of a particular play, game, or interactive scenario.
-
B.
ageInVideo
Indicates the age of a person or entity at the time they appear in a specific video.
-
C.
riftAge
Indicates the age or time since formation of a geological rift or rift-related feature.
-
D.
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.
-
E.
ageInSeries
Indicates the age of an entity as it appears or is depicted within a specific series or installment of a work.
- 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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.