Triple
T30152772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Creed |
E766436
|
entity |
| Predicate | childhoodExperienceShapes |
P2854
|
FINISHED |
| Object | her fears |
—
|
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: her fears | Statement: [Rachel Creed, childhoodExperienceShapes, her fears]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childhoodExperienceShapes Context triple: [Rachel Creed, childhoodExperienceShapes, her fears]
-
A.
spentChildhoodIn
Indicates that a person or entity spent the majority or formative years of their childhood in a particular place or location.
-
B.
childhoodAssociation
Indicates a relationship where two entities are connected through shared experiences, interactions, or familiarity originating from their childhood period.
-
C.
timePeriodOfChildhood
Indicates the span of time during which an entity is considered to have been in its childhood phase.
-
D.
experiencesTransformation
Indicates that an entity undergoes a significant change in state, form, condition, or identity as a result of some process or influence.
-
E.
experiences
chosen
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 7:20 p.m.