Triple
T28518284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Roland |
E721684
|
entity |
| Predicate | relationshipToFlagg |
P201650
|
FINISHED |
| Object | is manipulated by Flagg |
—
|
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: is manipulated by Flagg | Statement: [King Roland, relationshipToFlagg, is manipulated by Flagg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToFlagg Context triple: [King Roland, relationshipToFlagg, is manipulated by Flagg]
-
A.
fareRelationship
Indicates a relationship between entities based on the cost, pricing, or fare charged for a service or trip.
-
B.
relationshipToEva
Indicates a specified type of personal or social relationship that an entity has with Eva.
-
C.
relationshipToPawneeNation
Indicates the specific type of familial, legal, historical, or political relationship that an entity has with the Pawnee Nation.
-
D.
relationshipToUsnavi
Indicates the type or nature of the relationship that an entity has with Usnavi.
-
E.
relationshipToFriends
Indicates the type or nature of the relationship an entity has with its friends.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a0010e46d948190a51111b5270fade7 |
completed | May 10, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_6a001061d34c8190bfe73f3d7c061eb7 |
completed | May 10, 2026, 4:58 a.m. |
| PDg | Predicate description generation | batch_6a0010e304a08190a4d0a4fa11a9a3b3 |
completed | May 10, 2026, 5 a.m. |
Created at: April 28, 2026, 3:18 a.m.