Triple
T35067806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flame King |
E1011777
|
entity |
| Predicate | relationshipTypeWithFlamePrincess |
P89053
|
FINISHED |
| Object | estranged father |
—
|
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: estranged father | Statement: [Flame King, relationshipTypeWithFlamePrincess, estranged father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithFlamePrincess Context triple: [Flame King, relationshipTypeWithFlamePrincess, estranged father]
-
A.
relationshipToPrincess
chosen
Indicates the specific familial, social, or romantic connection that one entity has to a princess.
-
B.
relationshipTypeWithPrinceChar
Indicates the specific kind or nature of relationship an entity has with the prince character.
-
C.
relationshipToPrinceDauntless
Indicates the specific familial, social, or interpersonal connection an entity has with Prince Dauntless.
-
D.
relationshipTypeWithTiamat
Indicates the specific nature or category of relationship an entity has with Tiamat.
-
E.
relationshipTypeWithKatnissEverdeen
Indicates the type or nature of the relationship an entity has with Katniss Everdeen.
- 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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.