Triple
T33501669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice Guy Eddie Cabot |
E858003
|
entity |
| Predicate | relationTypeToJoeCabot |
P206492
|
FINISHED |
| Object | son |
—
|
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: son | Statement: [Nice Guy Eddie Cabot, relationTypeToJoeCabot, son]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationTypeToJoeCabot Context triple: [Nice Guy Eddie Cabot, relationTypeToJoeCabot, son]
-
A.
relationshipToJoeCinque
Indicates a specified type of relationship or connection that an entity has to Joe Cinque.
-
B.
termRelationTo
Indicates a general relational association between one term and another, without specifying the exact nature of that relationship.
-
C.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
D.
relationToBabo
Indicates a relationship or connection that an entity has to the person or entity referred to as "Babo."
-
E.
governingRelation
Indicates a relationship in which one entity exercises authority, control, or regulatory power over another.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:38 a.m.