Triple
T13617015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melvin Udall |
E325340
|
entity |
| Predicate | hasCompulsion |
P49999
|
FINISHED |
| Object | repetitive hand washing |
—
|
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: repetitive hand washing | Statement: [Melvin Udall, hasCompulsion, repetitive hand washing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompulsion Context triple: [Melvin Udall, hasCompulsion, repetitive hand washing]
-
A.
forcedBy
Indicates that an entity is compelled or coerced into an action or state by another entity.
-
B.
obsessionWith
chosen
Indicates an intense, persistent, and often overwhelming preoccupation or fixation that one entity has toward another entity or object.
-
C.
hasRepressedDesireFor
Indicates that one entity harbors a hidden or unacknowledged longing or attraction toward another entity.
-
D.
hasHabit
Indicates that an entity regularly performs, practices, or exhibits a particular behavior or routine.
-
E.
hasNumberOfTemptations
Indicates the specific count of temptations associated with an entity or situation.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:50 p.m.