Triple
T17778739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Migration Series |
E443840
|
entity |
| Predicate | hasCaptionText |
P113852
|
FINISHED |
| Object | narrative captions written by Jacob Lawrence |
—
|
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: narrative captions written by Jacob Lawrence | Statement: [The Migration Series, hasCaptionText, narrative captions written by Jacob Lawrence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCaptionText Context triple: [The Migration Series, hasCaptionText, narrative captions written by Jacob Lawrence]
-
A.
hasText
Indicates that an entity is associated with or contains a specific piece of textual content.
-
B.
hasTitleOver
Indicates that one entity holds a formal title, rank, or designation in relation to another entity.
-
C.
hasHeading
Indicates that one entity serves as a heading or title for another entity.
-
D.
caption
chosen
Indicates that a piece of text serves as a descriptive label or explanation for an associated image, video, or other media content.
-
E.
hasTitleFeature
Indicates that an entity possesses a specific characteristic, attribute, or element related to its title.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871f63708190b298ed96896ad0ee |
completed | April 19, 2026, 7:41 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:12 a.m.