Triple
T19623211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christine Chapel |
E471065
|
entity |
| Predicate | roleOnEnterprise |
P107347
|
FINISHED |
| Object | head nurse |
—
|
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: head nurse | Statement: [Christine Chapel, roleOnEnterprise, head nurse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOnEnterprise Context triple: [Christine Chapel, roleOnEnterprise, head nurse]
-
A.
roleAtMicrosoft
Indicates that an entity holds or held a specific role or position within Microsoft.
-
B.
recognizesAdministrativeUnits
Indicates that an entity formally acknowledges the existence, status, or authority of specified administrative units (such as regions, districts, or municipalities).
-
C.
roleOnVoyager
chosen
Indicates the specific position, duty, or function an entity holds in relation to the Voyager mission or project.
-
D.
connectsAdministrativeUnits
Indicates a relationship where one administrative unit is linked or associated with another for governance, coordination, or organizational purposes.
-
E.
airGroupRole
Indicates the specific function or duty an air group performs within a larger operation or organizational context.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e8695c81909268c5a91cdbb7fa |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.