Triple
T35196516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Away All Boats |
E1016275
|
entity |
| Predicate | fictionalShipName |
P69373
|
FINISHED |
| Object |
USS Belinda
USS Belinda is the fictional amphibious attack transport ship that serves as the central setting and focus of the World War II novel and film "Away All Boats."
|
E2133120
|
NE FINISHED |
How this triple was built (3 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: USS Belinda | Statement: [Away All Boats, fictionalShipName, USS Belinda]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: USS Belinda Triple: [Away All Boats, fictionalShipName, USS Belinda]
Generated description
USS Belinda is the fictional amphibious attack transport ship that serves as the central setting and focus of the World War II novel and film "Away All Boats."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalShipName Context triple: [Away All Boats, fictionalShipName, USS Belinda]
-
A.
fictionalShip
chosen
Indicates that one entity is a ship that exists only in fiction or narrative works, rather than in reality.
-
B.
namesakeShip
Indicates that one entity is a ship that is named after, or serves as the namesake of, another entity.
-
C.
shipName
Indicates the name assigned to a specific ship in the relationship.
-
D.
craftName
Indicates that an entity is identified by the specific name of a craft, vehicle, or vessel.
-
E.
victoriousShip
Indicates that a ship has won a conflict, battle, or competition against another party.
- F. None of above.
Provenance (6 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fef8c3f2388190b995ec173512945a |
completed | May 9, 2026, 9:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a380f991ec4819094df78d28ec32ba8 |
completed | June 21, 2026, 4:21 p.m. |
| NEDg | Description generation | batch_6a3810a299448190ba0080197e6417de |
completed | June 21, 2026, 4:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3811ab6ed8819097a93f8022d9d284 |
completed | June 21, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_69fef65975608190960b78d27e806d4f |
completed | May 9, 2026, 8:54 a.m. |
Created at: May 3, 2026, 4:02 p.m.