Triple
T22341538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mountain Girl |
E552284
|
entity |
| Predicate | outcomeForTravelers |
P147857
|
FINISHED |
| Object | can bring misfortune |
—
|
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: can bring misfortune | Statement: [The Mountain Girl, outcomeForTravelers, can bring misfortune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outcomeForTravelers Context triple: [The Mountain Girl, outcomeForTravelers, can bring misfortune]
-
A.
travelers
Indicates that one or more entities are engaged in the activity or role of traveling, typically moving from one place to another.
-
B.
coTraveler
Indicates that two or more entities are traveling together along (part of) the same journey or route.
-
C.
servesTravelersTo
Indicates a relationship where one entity provides services, assistance, or accommodations specifically directed toward travelers heading to a particular destination.
-
D.
traveledAs
Indicates that an entity moved from one place to another in the role, capacity, or identity specified by another entity (e.g., as a tourist, as a representative, as a refugee).
-
E.
passengersSubsequentAction
Indicates the action or event that occurs to or is taken by the passengers after a preceding condition, event, or step in a process.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15794fae48190a2b79e9ae4b57bb1 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:43 p.m.