Triple
T26871897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Gallien |
E676632
|
entity |
| Predicate | droppedOffChristopherMcCandlessNear |
P161551
|
FINISHED |
| Object | Stampede Trail |
—
|
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: Stampede Trail | Statement: [Jim Gallien, droppedOffChristopherMcCandlessNear, Stampede Trail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: droppedOffChristopherMcCandlessNear Context triple: [Jim Gallien, droppedOffChristopherMcCandlessNear, Stampede Trail]
-
A.
lostAt
Indicates that an entity ceased to be in possession of or unable to be found at a specific location or context.
-
B.
diedDuringExpeditionTo
Indicates that an entity died while participating in or as a consequence of a specific expedition to a particular place or destination.
-
C.
diedOnJourneyBetween
Indicates that an entity died while traveling between two specified locations or points in a journey.
-
D.
diedDuringExpeditionOn
Indicates that an entity died while participating in a specific expedition that took place on a given date.
-
E.
intendedDestinationAtTimeOfDisappearance
Indicates the location or place an entity was planning to go to at the specific time when it disappeared.
- 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 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, 5:33 a.m.