Triple
T33520267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundling Hospital |
E858479
|
entity |
| Predicate | childrenApprenticedAs |
P178105
|
FINISHED |
| Object | domestic servants |
—
|
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: domestic servants | Statement: [Foundling Hospital, childrenApprenticedAs, domestic servants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childrenApprenticedAs Context triple: [Foundling Hospital, childrenApprenticedAs, domestic servants]
-
A.
childProdigy
Indicates that an entity is a child who demonstrates exceptional skill or talent in a particular domain at an unusually young age.
-
B.
childProtagonist
Indicates that the main character in the work is a child.
-
C.
childCharacter
Indicates that one entity is a child version or child role of another character entity.
-
D.
childInStory
Indicates that one entity is a child character who appears within the narrative context of the other entity (a story).
-
E.
childOfCharacter
Indicates that one character is the offspring (biological, adopted, or otherwise recognized child) of another character.
- 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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:39 a.m.