Triple
T20164243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Wheezer |
E491787
|
entity |
| Predicate | allergicTo |
P121583
|
FINISHED |
| Object | many common substances |
—
|
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: many common substances | Statement: [Carl Wheezer, allergicTo, many common substances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allergicTo Context triple: [Carl Wheezer, allergicTo, many common substances]
-
A.
allergenicity
Indicates that one entity has the capacity to cause an allergic reaction in another entity.
-
B.
isAllergenFor
chosen
Indicates that one entity acts as an allergen that can trigger an allergic reaction in another entity.
-
C.
isNonAllergenic
Indicates that something does not cause allergic reactions or is free from common allergens.
-
D.
notableAllergenicGenera
Indicates that the subject is associated with genera that are particularly notable for causing allergic reactions.
-
E.
containsAllergenicCompound
Indicates that the subject entity includes one or more compounds known to cause allergic reactions.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684376408190a68890ab48fa5424 |
completed | April 20, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:35 p.m.