Triple
T2900750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big |
E62646
|
entity |
| Predicate | hasAgeTransformation |
P42599
|
FINISHED |
| Object | boy to adult overnight |
—
|
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: boy to adult overnight | Statement: [Big, hasAgeTransformation, boy to adult overnight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAgeTransformation Context triple: [Big, hasAgeTransformation, boy to adult overnight]
-
A.
hasAge
Indicates that an entity possesses a specific age value, typically expressed as a number of time units since its birth or creation.
-
B.
cameOfAge
Indicates that an entity reached the age or stage of maturity at which it is considered an adult or fully responsible.
-
C.
hasAgeFocus
Indicates a relationship where something is characterized or distinguished by a particular age group or age-related emphasis.
-
D.
hasLowerAge
Indicates that one entity is younger in age than another entity.
-
E.
hadGrowthPeriod
Indicates that an entity experienced a specific span of time during which it underwent growth or development.
- F. None of above. chosen
Provenance (4 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0b081308190af8875151fb11c4e |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdd96670c8190b727f9ac27dadf67 |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 10:10 p.m.