Triple
T35799470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Arryn |
E1034928
|
entity |
| Predicate | raisedAtHisCourt |
P183688
|
FINISHED |
| Object | Eddard Stark |
—
|
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: Eddard Stark | Statement: [Jon Arryn, raisedAtHisCourt, Eddard Stark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raisedAtHisCourt Context triple: [Jon Arryn, raisedAtHisCourt, Eddard Stark]
-
A.
heldCourtIn
Indicates that an authority or governing body formally conducted judicial or official proceedings in a particular place.
-
B.
heldCourtUnder
Indicates that one authority conducted judicial or ceremonial court proceedings under the jurisdiction, auspices, or authority of another.
-
C.
raisedAt
Indicates that something was brought up, mentioned, or initiated at a particular time, place, or contextual point.
-
D.
facedTribunal
Indicates that an entity has been brought before and judged by a formal tribunal or judicial body.
-
E.
affectedCourt
Indicates that a particular court is impacted or influenced by a specified action, decision, or legal matter.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a258a1a88190ad421d43295d376c |
completed | May 3, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a162672481909773f8383d91159a |
completed | May 3, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:06 p.m.