Triple
T28721929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie Kaspbrak (It, 2017 film) |
E730118
|
entity |
| Predicate | sourceOfMedication |
P120997
|
FINISHED |
| Object | his mother |
—
|
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: his mother | Statement: [Eddie Kaspbrak (It, 2017 film), sourceOfMedication, his mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceOfMedication Context triple: [Eddie Kaspbrak (It, 2017 film), sourceOfMedication, his mother]
-
A.
receivesDrugsFrom
chosen
Indicates that one entity obtains or is administered drugs or medications from another entity.
-
B.
prescribedBy
Indicates that something (typically a treatment, medication, or procedure) has been formally ordered or authorized by a specific agent, usually a medical professional.
-
C.
drugProduced
Indicates that a particular drug is manufactured or generated by a specified producer or source.
-
D.
usesDrug
Indicates that an entity consumes, administers, or otherwise makes use of a specified drug.
-
E.
hasDrug
Indicates that an entity possesses, is treated with, or is associated with a particular drug.
- 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_69f043e91fe48190b73bcd8e08d433e0 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 28, 2026, 5:54 a.m.