Triple
T37395035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Childs |
E928826
|
entity |
| Predicate | familyThemeInvolvement |
P191119
|
FINISHED |
| Object | search for her father |
—
|
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: search for her father | Statement: [Rachel Childs, familyThemeInvolvement, search for her father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyThemeInvolvement Context triple: [Rachel Childs, familyThemeInvolvement, search for her father]
-
A.
familyInvolvement
Indicates that there is participation, engagement, or influence of family members in the context of a particular activity, decision, or situation.
-
B.
familyTheme
chosen
Indicates a relationship or context in which the central focus or underlying motif involves family connections, dynamics, or values.
-
C.
familyAspect
Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
-
D.
familyContext
Indicates that the entities are related or associated within a family or household context, such as kinship, caregiving, or shared domestic life.
-
E.
familyRelationTheme
Indicates that one entity is the thematic focus or topic within a family relationship involving 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 3, 2026, 4:16 p.m.