Triple
T21808059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autie |
E538398
|
entity |
| Predicate | appliedDuringLifeStage |
P8338
|
FINISHED |
| Object | childhood |
—
|
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: childhood | Statement: [Autie, appliedDuringLifeStage, childhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedDuringLifeStage Context triple: [Autie, appliedDuringLifeStage, childhood]
-
A.
followsCharacterInLifeStage
Indicates that one entity chronologically succeeds or comes after another entity within a specific stage or period of life.
-
B.
appliesDuringCareerPhase
Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
-
C.
appliedDuringPeriod
Indicates that an action, condition, or status was in effect throughout a specified time period.
-
D.
hasRoleInLifeOf
Indicates that one entity plays a particular role or function in the life or personal experience of another entity.
-
E.
lifeStage
chosen
Indicates the specific phase or period in an entity’s development or lifecycle that it is currently in.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f078047ca88190a0efa4bc7f2faf80 |
completed | April 28, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:53 p.m.