Triple
T12238851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherry Palmer |
E291673
|
entity |
| Predicate | relationshipToDavidPalmer |
P103961
|
FINISHED |
| Object | political advisor |
—
|
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: political advisor | Statement: [Sherry Palmer, relationshipToDavidPalmer, political advisor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToDavidPalmer Context triple: [Sherry Palmer, relationshipToDavidPalmer, political advisor]
-
A.
relationshipToJoeBuck
Indicates the specific familial, social, or professional relationship that one entity has to the person Joe Buck.
-
B.
relationshipToJosephCooper
Indicates the specific familial, social, or professional relationship that one entity has to Joseph Cooper.
-
C.
relationshipToDudley
Indicates the specific familial or social relationship that one entity has to the person named Dudley.
-
D.
relationshipToPaul
Indicates a specified type of personal or social relationship that an entity has with Paul.
-
E.
characterRelationshipToDannyMeyerowitz
Indicates the specific type of relationship or connection a character has to Danny Meyerowitz.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d92468052c819090546f36d009a64f |
completed | April 10, 2026, 4:25 p.m. |
Created at: April 8, 2026, 9:51 p.m.