Triple
T36718382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maid of Honour to Queen Arwen |
E906977
|
entity |
| Predicate | courtOf |
P186238
|
FINISHED |
| Object | Kingdom of Gondor |
—
|
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: Kingdom of Gondor | Statement: [Maid of Honour to Queen Arwen, courtOf, Kingdom of Gondor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courtOf Context triple: [Maid of Honour to Queen Arwen, courtOf, Kingdom of Gondor]
-
A.
courtName
Indicates the official name assigned to a particular court within a legal or judicial system.
-
B.
decisionCourt
Indicates that a particular court rendered the decision or judgment in a given legal case or proceeding.
-
C.
courtCode
Indicates the specific court or judicial body associated with a legal case, proceeding, or record.
-
D.
courtFunction
Indicates that one entity serves as a judicial body or performs an official judicial role or function in relation to another entity or context.
-
E.
courts
Indicates that one entity actively seeks the favor, support, or romantic interest of another through deliberate actions or overtures.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabacc1481909e839454ce1057f7 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7c9f4c7c48190ba918d8d5dc8dfd9 |
completed | May 3, 2026, 10:19 p.m. |
Created at: May 3, 2026, 4:12 p.m.