Triple
T28205804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Faulkner |
E717015
|
entity |
| Predicate | commitmentPhobic |
P115469
|
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: [Samuel Faulkner, commitmentPhobic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commitmentPhobic Context triple: [Samuel Faulkner, commitmentPhobic, true]
-
A.
commitment
Indicates a sustained obligation or promise that binds an entity to a course of action, relationship, or goal over time.
-
B.
coreCommitment
Indicates a fundamental, central obligation or promise that defines the primary responsibility or dedication within a relationship or agreement.
-
C.
hesitatesTo
chosen
Indicates that an entity shows reluctance, delay, or uncertainty before performing a particular action or engaging in a specific relationship.
-
D.
მემკვიდრეობა
Indicates the relationship in which rights, property, or status are passed from one party to another as an inheritance.
-
E.
traction
Indicates the degree to which one entity’s movement or influence effectively grips, pulls, or gains momentum relative to another entity or medium.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 10:35 p.m.