Triple
T29264746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eunice Harper Higgins |
E741948
|
entity |
| Predicate | basedOnSketch |
P54922
|
FINISHED |
| Object | The Family |
—
|
NE NERFINISHED |
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: The Family | Statement: [Eunice Harper Higgins, basedOnSketch, The Family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnSketch Context triple: [Eunice Harper Higgins, basedOnSketch, The Family]
-
A.
basedOnDesignBy
Indicates that something is created, developed, or structured according to the design conceived or produced by a specified entity.
-
B.
sketchType
Indicates the specific kind or category of sketch associated with an entity or action.
-
C.
basedOnDescription
Indicates that one entity is derived, determined, or inferred from the description or textual details of another entity.
-
D.
basedOnBy
chosen
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
E.
hasNotableSketch
Indicates that an entity is associated with a sketch that is considered notable or significant in some 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: April 28, 2026, 12:44 p.m.