Triple
T7044569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edith Bunker |
E163597
|
entity |
| Predicate | personalityRole |
P59266
|
FINISHED |
| Object | moral center of the Bunker family |
—
|
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: moral center of the Bunker family | Statement: [Edith Bunker, personalityRole, moral center of the Bunker family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: personalityRole Context triple: [Edith Bunker, personalityRole, moral center of the Bunker family]
-
A.
roleCharacteristic
chosen
Indicates that a particular characteristic, quality, or attribute is associated with and helps define a given role or function.
-
B.
stagePersonaOf
Indicates a relationship where one entity is the staged or performed persona, role, or character representation of another entity.
-
C.
cultRole
Indicates that an entity holds a specific role, position, or function within a cult or cult-like group.
-
D.
speakerRole
Indicates the functional role or capacity in which an entity is acting as a speaker within a communicative event.
-
E.
emotionalRole
Indicates a relationship where one entity holds a particular emotional significance, function, or impact in relation to 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:37 p.m.