Triple
T38522754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cynthia Miller |
E922532
|
entity |
| Predicate | roleAtNonnatusHouse |
P143438
|
FINISHED |
| Object | midwife |
—
|
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: midwife | Statement: [Cynthia Miller, roleAtNonnatusHouse, midwife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtNonnatusHouse Context triple: [Cynthia Miller, roleAtNonnatusHouse, midwife]
-
A.
houseRole
Indicates the functional role, purpose, or use that a house has within a given context or system.
-
B.
roleOnDowntonAbbey
Indicates that one entity portrays or has a specific role or character in the television series "Downton Abbey" in relation to the other entity.
-
C.
hasHouseRole
chosen
Indicates that an entity holds a specific role or position within a particular house or household.
-
D.
roleAtTheGrange
Indicates that an entity holds or held a specific role or position at a place or organization called "The Grange".
-
E.
roleAtA24
Indicates that an entity holds or held a specific role or position at the organization or project referred to as A24.
- 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_69f76ea5f5588190bd0b28c82e975640 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.