Triple
T3377706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Other |
E71105
|
entity |
| Predicate | mystique |
P22515
|
FINISHED |
| Object | identity deliberately left uncertain |
—
|
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: identity deliberately left uncertain | Statement: [the Other, mystique, identity deliberately left uncertain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mystique Context triple: [the Other, mystique, identity deliberately left uncertain]
-
A.
hasEnigmaticCharacter
chosen
Indicates that something possesses a mysterious, puzzling, or difficult-to-interpret quality or nature.
-
B.
hasMystery
Indicates that one entity possesses, contains, or is associated with something unknown, secret, or unexplained in relation to another entity.
-
C.
museOf
Indicates that one entity serves as the source of artistic or intellectual inspiration for another.
-
D.
mythologicalQueen
Indicates that one entity is a queen who exists within mythology, legend, or folklore rather than historical reality.
-
E.
typeOfMagic
Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e8d1988190b6fb6c4c5502f25f |
completed | March 8, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69ada433059881908e46f38cc5f40a32 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.