Triple
T28566920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The girls (Penny and Bernadette) |
E722703
|
entity |
| Predicate | formsCoreTrioWith |
P6653
|
FINISHED |
| Object | Amy Farrah Fowler |
—
|
NE NERFINISHED |
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: Amy Farrah Fowler | Statement: [The girls (Penny and Bernadette), formsCoreTrioWith, Amy Farrah Fowler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsCoreTrioWith Context triple: [The girls (Penny and Bernadette), formsCoreTrioWith, Amy Farrah Fowler]
-
A.
formsInteractingPairWith
Indicates that one entity forms a mutually interacting pair or duo with another entity, such that their behaviors or effects are directly linked.
-
B.
formsWith
chosen
Indicates that one entity combines or associates with another to create or constitute a joint structure, group, or configuration.
-
C.
formsFlocksWith
Indicates that entities regularly gather and move together in coordinated groups or flocks.
-
D.
formsMostOf
Indicates that one entity constitutes the majority or predominant portion of another entity.
-
E.
formsFacadeOf
Indicates that one entity serves as the outward-facing surface or front (facade) of another entity, typically concealing or enclosing it.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 28, 2026, 4:07 a.m.