Triple
T28517969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Masur as adult Stan Uris |
E721675
|
entity |
| Predicate | portraysLifeStage |
P105042
|
FINISHED |
| Object | 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: adult | Statement: [Richard Masur as adult Stan Uris, portraysLifeStage, adult]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysLifeStage Context triple: [Richard Masur as adult Stan Uris, portraysLifeStage, adult]
-
A.
describesLifeStage
Indicates that one entity specifies or characterizes the life stage or developmental phase of another entity.
-
B.
depictsLifePeriod
chosen
Indicates that one entity visually represents or portrays a specific period or phase in the life of another entity.
-
C.
lifeStage
Indicates the specific phase or period in an entity’s development or lifecycle that it is currently in.
-
D.
portraysFromAge
Indicates that one entity depicts another entity starting from a specified age of the depicted entity.
-
E.
exploresLifeStage
Indicates that one entity investigates, examines, or studies a particular stage in the life or development 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 28, 2026, 3:18 a.m.