Triple
T33916924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euphegenia Doubtfire |
E869484
|
entity |
| Predicate | relationshipToNatalieHillard |
P206735
|
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, relationshipToNatalieHillard, nanny]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToNatalieHillard Context triple: [Euphegenia Doubtfire, relationshipToNatalieHillard, nanny]
-
A.
relationshipToNatalieGoodman
Indicates the specific type of personal or social relationship an entity has with Natalie Goodman.
-
B.
relationshipWithAnnShankland
Indicates that an entity has some form of personal or professional relationship with Ann Shankland.
-
C.
relationshipDynamicWithHillaryWhitney
Indicates a changing or evolving interpersonal relationship that exists between Hillary and Whitney.
-
D.
relationshipWithKat Barton
Indicates the existence or nature of a relationship that an entity has with Kat Barton.
-
E.
relationshipToNina
Indicates that one entity has a specified personal or social relationship to Nina.
- 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.