Triple
T38010325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josiah Bounderby |
E948345
|
entity |
| Predicate | treatsWithIngratitude |
P1461
|
FINISHED |
| Object | his mother Mrs. Pegler |
—
|
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 Mrs. Pegler | Statement: [Josiah Bounderby, treatsWithIngratitude, his mother Mrs. Pegler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsWithIngratitude Context triple: [Josiah Bounderby, treatsWithIngratitude, his mother Mrs. Pegler]
-
A.
isEmbittered
Indicates that an entity harbors persistent bitterness or resentment, typically as a result of past experiences or perceived wrongs.
-
B.
neglects
chosen
Indicates a relationship where one party fails to give appropriate attention, care, or consideration to another party or responsibility.
-
C.
correctsAberration
Indicates that one entity counteracts, fixes, or compensates for an error, flaw, or deviation present in another entity.
-
D.
treatmentOf
Indicates a relationship where one entity administers, provides, or is responsible for a therapeutic intervention directed toward another entity (typically a patient or condition).
-
E.
consequenceIfNotAppeased
Indicates the negative outcome or result that will occur if a particular demand, condition, or entity is not satisfied or appeased.
- 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_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:20 p.m.