Triple
T20734739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby Steps |
E509668
|
entity |
| Predicate | authorType |
P141308
|
FINISHED |
| Object | fictional psychiatrist |
—
|
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: fictional psychiatrist | Statement: [Baby Steps, authorType, fictional psychiatrist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorType Context triple: [Baby Steps, authorType, fictional psychiatrist]
-
A.
authorTitle
Indicates that a person is the creator or writer of a work that bears the specified title.
-
B.
authors
Indicates that one entity is the creator or writer of another entity, such as a document, work, or piece of content.
-
C.
authorStatus
Indicates the role or standing an individual holds as an author, such as their level of contribution, recognition, or current authorship state in relation to a work.
-
D.
authorOrigin
Indicates that an author has a specific place, region, or country as their origin or background.
-
E.
authorName
Indicates the name associated with the person or entity that authored a given work or resource.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c209348c819084a2f35f36378680 |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:31 p.m.