Triple
T20516314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Irvine |
E503690
|
entity |
| Predicate | hasNotableMystery |
P104138
|
FINISHED |
| Object | whether he and George Mallory reached the summit of Everest before disappearing |
—
|
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: whether he and George Mallory reached the summit of Everest before disappearing | Statement: [Andrew Irvine, hasNotableMystery, whether he and George Mallory reached the summit of Everest before disappearing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableMystery Context triple: [Andrew Irvine, hasNotableMystery, whether he and George Mallory reached the summit of Everest before disappearing]
-
A.
hasMystery
Indicates that one entity possesses, contains, or is associated with something unknown, secret, or unexplained in relation to another entity.
-
B.
mysteryAssociatedWith
chosen
Indicates a relationship where something is connected to, involved in, or characterized by an element of mystery or the unknown.
-
C.
hadGreaterMysteries
Indicates that one entity possessed or was associated with more profound, secret, or advanced mysteries than another entity.
-
D.
notableSuspect
Indicates that an individual is a particularly significant or prominent suspect in relation to an event, case, or investigation.
-
E.
numberOfMysteries
Indicates the quantity or count of mysteries associated with a given 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f41eee481908121e54c7bd691ca |
completed | April 20, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:36 a.m.