Triple
T29783806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marly Ehrhardt |
E756202
|
entity |
| Predicate | relationshipToChristineCampbell |
P203316
|
FINISHED |
| Object | school rival |
—
|
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: school rival | Statement: [Marly Ehrhardt, relationshipToChristineCampbell, school rival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToChristineCampbell Context triple: [Marly Ehrhardt, relationshipToChristineCampbell, school rival]
-
A.
relationshipTypeWithChristineCampbell
chosen
Indicates the specific nature or category of relationship that an entity has with Christine Campbell.
-
B.
relationshipTypeWithChristineArmstrong
Indicates the specific nature or category of relationship that an entity has with Christine Armstrong.
-
C.
relationshipToCamillo
Indicates the type or nature of the relationship that an entity has with Camillo.
-
D.
relationshipToKristinSquires
Indicates the nature or type of relationship an entity has with Kristin Squires.
-
E.
relationshipTypeWithCallieSadecki
Indicates the specific nature or category of relationship that an entity has with Callie Sadecki.
- 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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a01b3af7b908190b4675c85d32d106c |
completed | May 11, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_6a01b35813c081908e484b2b9ca5dd05 |
completed | May 11, 2026, 10:45 a.m. |
Created at: April 29, 2026, 5:07 p.m.