Triple
T33916923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euphegenia Doubtfire |
E869484
|
entity |
| Predicate | relationshipToChrisHillard |
P206734
|
FINISHED |
| Object | nanny |
—
|
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: nanny | Statement: [Euphegenia Doubtfire, relationshipToChrisHillard, nanny]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToChrisHillard Context triple: [Euphegenia Doubtfire, relationshipToChrisHillard, nanny]
-
A.
relationshipToChrisWashington
Indicates the specific type of personal or social relationship an entity has with Chris Washington.
-
B.
relationshipToChrisKeller
Indicates the specific type of personal or social relationship an entity has with Chris Keller.
-
C.
relationshipTypeWithChrisMyers
Indicates the specific nature or category of relationship that an entity has with Chris Myers.
-
D.
relationshipToGeorgeCooperSr
Indicates the specific familial or personal relationship an entity has to George Cooper Sr.
-
E.
relationshipWithAnnShankland
Indicates that an entity has some form of personal or professional relationship with Ann Shankland.
- 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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:48 a.m.