Triple
T27099163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlon Dingle |
E686390
|
entity |
| Predicate | relationshipTypeWithPaddyKirk |
P199520
|
FINISHED |
| Object | best friend |
—
|
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: best friend | Statement: [Marlon Dingle, relationshipTypeWithPaddyKirk, best friend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithPaddyKirk Context triple: [Marlon Dingle, relationshipTypeWithPaddyKirk, best friend]
-
A.
relationshipTypeWithDorothyZbornak
Indicates the specific nature or category of relationship an entity has with Dorothy Zbornak.
-
B.
relationshipTypeWithKatnissEverdeen
Indicates the type or nature of the relationship an entity has with Katniss Everdeen.
-
C.
relationshipToRyanBingham
Indicates the specific type of personal or social relationship an entity has with Ryan Bingham.
-
D.
relationshipToKayBanks
Indicates the specific familial or social relationship that an entity has to Kay Banks.
-
E.
relationshipTypeWithRoryGilmore
Indicates the specific nature or category of relationship that an entity has with Rory Gilmore.
- 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69ff409ff5548190849c2d50e99bd807 |
completed | May 9, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69ff401a5e188190a72f945e910b4a6c |
completed | May 9, 2026, 2:09 p.m. |
| PDg | Predicate description generation | batch_69ff409ee6ec819088b7c13fabed2ac2 |
completed | May 9, 2026, 2:11 p.m. |
Created at: April 27, 2026, 8:46 a.m.