Triple
T3551430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sif |
E75118
|
entity |
| Predicate | hairReplacedBy |
P50538
|
FINISHED |
| Object | golden hair made by dwarfs |
—
|
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: golden hair made by dwarfs | Statement: [Sif, hairReplacedBy, golden hair made by dwarfs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hairReplacedBy Context triple: [Sif, hairReplacedBy, golden hair made by dwarfs]
-
A.
hairDetail
Indicates a relationship that specifies particular characteristics or attributes of an entity’s hair, such as style, color, length, or texture.
-
B.
wasStraightenedIn
Indicates that something previously bent, curved, or misaligned was made straight at a particular time or by a particular event or process.
-
C.
tailpieceType
Indicates the specific kind or design of tailpiece associated with an instrument or object.
-
D.
replacedDuring
Indicates that one entity took the place of another entity during a specified time period or interval.
-
E.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd52f44819088e07139fe987e2a |
completed | March 8, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69adb83270ac819083967db0570167d2 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adba25c66c81909a05a97327828c41 |
completed | March 8, 2026, 6:04 p.m. |
Created at: March 8, 2026, 3:20 p.m.