Triple
T25749739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alison Lapper Pregnant |
E648441
|
entity |
| Predicate | depictsCondition |
P41129
|
FINISHED |
| Object | phocomelia |
—
|
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: phocomelia | Statement: [Alison Lapper Pregnant, depictsCondition, phocomelia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsCondition Context triple: [Alison Lapper Pregnant, depictsCondition, phocomelia]
-
A.
depictsMedicalCondition
chosen
Indicates that one entity visually represents or illustrates a particular medical condition affecting another entity or subject.
-
B.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
C.
depictsAttribute
Indicates that one entity visually represents or illustrates a specific attribute or characteristic of another entity.
-
D.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
-
E.
typicallyDepicts
Indicates that one entity is most commonly or characteristically portrayed or represented by the other in depictions or images.
- 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 22, 2026, 4:33 a.m.