Triple
T13467003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Compson III |
E311528
|
entity |
| Predicate | relationshipToCaddyCompson |
P110482
|
FINISHED |
| Object | father |
—
|
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: father | Statement: [Jason Compson III, relationshipToCaddyCompson, father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToCaddyCompson Context triple: [Jason Compson III, relationshipToCaddyCompson, father]
-
A.
relationshipToCandide
Indicates the specific type of relationship or connection an entity has to the entity named Candide.
-
B.
chamberRelationship
Indicates a formal association or linkage between an entity and a specific chamber (such as a legislative, judicial, or organizational body), defining how the entity is related to or positioned within that chamber.
-
C.
relationshipToCalaf
Indicates the specific type of personal or social relationship an entity has with Calaf.
-
D.
relationshipWithKong
Indicates that one entity has a specified type of relationship or association with the entity referred to as Kong.
-
E.
isAComponentOf
Indicates that one entity functions as a constituent part or sub-unit of another, larger entity.
- F. None of above. chosen
Provenance (4 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf101a1081909f2aba6da47baacc |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:42 p.m.