Triple
T26428901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iris Simpkins |
E664446
|
entity |
| Predicate | realizesNeedFor |
P21596
|
FINISHED |
| Object | self-respect |
—
|
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: self-respect | Statement: [Iris Simpkins, realizesNeedFor, self-respect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realizesNeedFor Context triple: [Iris Simpkins, realizesNeedFor, self-respect]
-
A.
recognizedNeedFor
chosen
Indicates that one entity has identified or acknowledged the necessity or requirement for another entity or condition.
-
B.
meetsNeedOf
Indicates that one entity sufficiently fulfills or satisfies the requirement, demand, or expectation specified by another entity.
-
C.
needBased
Indicates that something is determined, allocated, or provided according to the level of need rather than uniform or fixed criteria.
-
D.
areNecessaryFor
Indicates that one entity is required or must exist for another entity, condition, or outcome to occur or be possible.
-
E.
promptedDemandFor
Indicates that one entity’s action or occurrence caused an increase in demand for another entity.
- 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 26, 2026, 11:47 p.m.