Triple
T34256184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver Memorial Hospital |
E878882
|
entity |
| Predicate | primaryProtagonistWorksAt |
P180752
|
FINISHED |
| Object | Emily Owens |
E878883
|
NE 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: Emily Owens | Statement: [Denver Memorial Hospital, primaryProtagonistWorksAt, Emily Owens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryProtagonistWorksAt Context triple: [Denver Memorial Hospital, primaryProtagonistWorksAt, Emily Owens]
-
A.
protagonistWorksFor
chosen
Indicates that the protagonist is employed by or under the authority of another entity (such as a person, organization, or group).
-
B.
protagonistEmployerLocation
Indicates the location where the protagonist’s employer is based or operates.
-
C.
protagonistParentOccupation
Indicates the occupation or job held by the protagonist’s parent in the described context.
-
D.
mainCharacterWorkplaceType
Indicates the type or kind of workplace where the main character is employed or primarily works.
-
E.
featuresProtagonistOccupation
Indicates that the work’s main character has a specified occupation or job role.
- F. None of above.
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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36d5f84768819081728f64fe1b9586 |
completed | June 20, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:56 a.m.