Triple
T34550960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Melville Hays |
E887060
|
entity |
| Predicate | boardedClassOnShip |
P172867
|
FINISHED |
| Object | first class |
—
|
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: first class | Statement: [Charles Melville Hays, boardedClassOnShip, first class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardedClassOnShip Context triple: [Charles Melville Hays, boardedClassOnShip, first class]
-
A.
aboardShip
Indicates that one entity is physically on or inside a ship, typically as a passenger, crew member, or cargo.
-
B.
classOnShip
chosen
Indicates that an entity holds a particular class or status aboard a ship.
-
C.
onBoardClass
Indicates that one entity is a class or category of service available on board another entity (such as a vehicle, vessel, or aircraft).
-
D.
shipBoardedFrom
Indicates that an entity boarded a ship originating from or at a specified location or source.
-
E.
hasCabinClass
Indicates that an entity (such as a booking, ticket, or seat) is associated with a specific cabin class (e.g., economy, business, first).
- 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72026dbe08190b72fc3aa9440ff46 |
completed | May 3, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.