Triple
T21461406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bearded Woman |
E529480
|
entity |
| Predicate | subjectHasCondition |
P1255
|
FINISHED |
| Object | hirsutism |
—
|
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: hirsutism | Statement: [The Bearded Woman, subjectHasCondition, hirsutism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectHasCondition Context triple: [The Bearded Woman, subjectHasCondition, hirsutism]
-
A.
hasCondition
chosen
Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
-
B.
containsCondition
Indicates that one entity includes, embodies, or is associated with a particular condition.
-
C.
supportsCondition
Indicates that one entity helps maintain, enable, or is compatible with a particular condition or state in another entity.
-
D.
subsetCondition
Indicates that one set or collection is entirely contained within another, satisfying a subset relationship condition.
-
E.
subjectHasCharacteristic
Indicates that a subject possesses, exhibits, or is defined by a particular characteristic or attribute.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ef0c0881908554977df00604a6 |
completed | April 23, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:09 p.m.