Triple
T32196350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | avelumab |
E822413
|
entity |
| Predicate | isFullyHuman |
P173315
|
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: [avelumab, isFullyHuman, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFullyHuman Context triple: [avelumab, isFullyHuman, true]
-
A.
isHuman
Indicates that the subject entity possesses the defining characteristics or status of being a human.
-
B.
isHumanRated
Indicates that something has been evaluated and approved as safe or suitable for use by humans.
-
C.
isTotallyPerfect
Indicates that an entity possesses complete flawlessness or ideal qualities in every relevant aspect.
-
D.
isAdultCharacter
Indicates that a character has reached adulthood, typically meeting the age or maturity criteria defining an adult within the given context.
-
E.
hasFormOfLifeApprovedBy
Indicates that an entity’s form of life (e.g., biological, organizational, or operational mode of existence) has been formally reviewed and approved by another specified authority or agent.
- F. None of above. chosen
Provenance (4 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_69f349093174819086e633c190a51aa8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb3795fc8190bfcb00d45aa887a1 |
completed | May 3, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b42902a081909126c7322858a2b3 |
completed | May 3, 2026, 2:34 a.m. |
Created at: May 1, 2026, 12:36 a.m.