Triple
T35198307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Neiman |
E1016328
|
entity |
| Predicate | practiceHabit |
P4721
|
FINISHED |
| Object | practices until his hands bleed |
—
|
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: practices until his hands bleed | Statement: [Andrew Neiman, practiceHabit, practices until his hands bleed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: practiceHabit Context triple: [Andrew Neiman, practiceHabit, practices until his hands bleed]
-
A.
homePractice
Indicates that an activity, skill, or task is being practiced or carried out in a home setting rather than in a formal or external environment.
-
B.
habitNumber
Indicates a numerical designation or identifier assigned to a particular habit within a set or sequence of habits.
-
C.
alsoPractice
Indicates that an entity engages in the same practice or activity as another entity, in addition to any other practices it may have.
-
D.
practice
chosen
Indicates that an entity regularly performs an activity or skill, typically to improve proficiency or maintain competence.
-
E.
agingPractice
Indicates a relationship where an entity engages in or applies methods, behaviors, or techniques related to the process or management of aging.
- 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:02 p.m.