Triple
T29370680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Dawson |
E744843
|
entity |
| Predicate | returnsToIslandOn |
P177561
|
FINISHED |
| Object | freighter Kahana |
—
|
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: freighter Kahana | Statement: [Michael Dawson, returnsToIslandOn, freighter Kahana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnsToIslandOn Context triple: [Michael Dawson, returnsToIslandOn, freighter Kahana]
-
A.
leavesIslandWith
Indicates that an entity departs from an island accompanied by another specified entity.
-
B.
dateOfDisembarkation
Indicates the specific date on which an individual or entity got off or was released from a vehicle, vessel, or mode of transport.
-
C.
continuesOnIsland
Indicates that an entity remains or persists on an island beyond some prior point or event.
-
D.
destinationIsland
Indicates the island that serves as the endpoint or target location to which someone or something is going or being directed.
-
E.
madeLandfallAt
Indicates that a storm or similar weather system has come ashore at a specific geographic location.
- 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: April 28, 2026, 2:26 p.m.