Triple
T31538820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Adventure of the Gloria Scott |
E804685
|
entity |
| Predicate | titleCharacterOfShip |
P138759
|
FINISHED |
| Object | Gloria Scott |
—
|
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: Gloria Scott | Statement: [The Adventure of the Gloria Scott, titleCharacterOfShip, Gloria Scott]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleCharacterOfShip Context triple: [The Adventure of the Gloria Scott, titleCharacterOfShip, Gloria Scott]
-
A.
crewDepicted
Indicates that a particular crew or group of crew members is visually represented or shown in some form of media or depiction.
-
B.
namesakeShip
Indicates that one entity is a ship that is named after, or serves as the namesake of, another entity.
-
C.
titularCharacterOf
chosen
Indicates that one entity is the main or title character featured in the work represented by the other entity.
-
D.
shipName
Indicates the name assigned to a specific ship in the relationship.
-
E.
shipRepresents
Indicates that one entity (typically a ship) serves as a symbol, stand-in, or representation for another entity, concept, or group.
- 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_69f348d03ef88190a2b73d7b94b9e02d |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: April 30, 2026, 10:05 p.m.