Triple
T26827720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fëanor |
E675415
|
entity |
| Predicate | epessë |
P161513
|
FINISHED |
| Object | Fëanáro |
—
|
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: Fëanáro | Statement: [Fëanor, epessë, Fëanáro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: epessë Context triple: [Fëanor, epessë, Fëanáro]
-
A.
epok
Indicates a temporal relationship where one event or state occurs during, within, or in the same time period as another.
-
B.
EP
Indicates a relationship where one entity is an executive producer (EP) of another entity, typically bearing primary production responsibility or credit.
-
C.
era
Indicates that something existed, occurred, or was valid during a specified historical or temporal period.
-
D.
eve
Indicates a relationship where one entity is the evening or night-time counterpart, phase, or occurrence associated with another entity.
-
E.
PSE
Indicates a relationship where one entity is engaged in or associated with a public service or public sector employment role relative to another entity or context.
- 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_69eee9b776448190993a60b67fcc9545 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61ada00d48190b6f4c52e6bd33789 |
completed | May 2, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6142a0b988190b404d078f73c3cb9 |
completed | May 2, 2026, 3:11 p.m. |
Created at: April 27, 2026, 4:59 a.m.