Triple
T33811246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elise Wassermann |
E866539
|
entity |
| Predicate | hasAutisticTraits |
P190501
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Elise Wassermann, hasAutisticTraits, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAutisticTraits Context triple: [Elise Wassermann, hasAutisticTraits, true]
-
A.
hasChildWithAutism
Indicates that one entity has a child who has been diagnosed with autism.
-
B.
hasBrainCharacteristic
Indicates that an entity possesses a specific feature, quality, or attribute related to the brain.
-
C.
hasFamilyTrait
Indicates that a particular trait or characteristic is shared among members of the same family or lineage.
-
D.
hasClinicalFeature
chosen
Indicates that an entity (such as a disease, condition, or case) exhibits or is characterized by a particular clinical sign, symptom, or feature.
-
E.
hasSupportingCharacterTrait
Indicates that a supporting character possesses a particular trait, quality, or characteristic.
- 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_69f349911a8c81908478662194b23d8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 1, 2026, 1:46 a.m.