Triple
T19293367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Ship |
E482495
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Blanche-Nef
Blanche-Nef is the French name for the White Ship, the English vessel whose sinking in 1120 killed King Henry I’s heir and triggered a succession crisis in England.
|
E1369342
|
NE FINISHED |
How this triple was built (4 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: Blanche-Nef | Statement: [White Ship, alsoKnownAs, Blanche-Nef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blanche-Nef Context triple: [White Ship, alsoKnownAs, Blanche-Nef]
-
A.
Branca
Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
-
B.
Branca
Branca was a medieval Portuguese infanta (princess) of the royal House of Burgundy.
-
C.
Swanilda
Swanilda is the spirited village girl and heroine of the comic ballet "Coppélia," known for her curiosity, wit, and resourcefulness.
-
D.
Redburga
Redburga is a historically obscure woman believed to have been the wife of King Egbert of Wessex and the mother of King Æthelwulf, placing her in the early 9th-century West Saxon royal family.
-
E.
Barbe-bleue
Barbe-bleue is an opéra bouffe in three acts by Jacques Offenbach, with a libretto by Henri Meilhac and Ludovic Halévy, that parodies the Bluebeard fairy tale.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Blanche-Nef Triple: [White Ship, alsoKnownAs, Blanche-Nef]
Generated description
Blanche-Nef is the French name for the White Ship, the English vessel whose sinking in 1120 killed King Henry I’s heir and triggered a succession crisis in England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blanche-Nef Target entity description: Blanche-Nef is the French name for the White Ship, the English vessel whose sinking in 1120 killed King Henry I’s heir and triggered a succession crisis in England.
-
A.
Branca
Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
-
B.
Branca
Branca was a medieval Portuguese infanta (princess) of the royal House of Burgundy.
-
C.
Swanilda
Swanilda is the spirited village girl and heroine of the comic ballet "Coppélia," known for her curiosity, wit, and resourcefulness.
-
D.
Redburga
Redburga is a historically obscure woman believed to have been the wife of King Egbert of Wessex and the mother of King Æthelwulf, placing her in the early 9th-century West Saxon royal family.
-
E.
Barbe-bleue
Barbe-bleue is an opéra bouffe in three acts by Jacques Offenbach, with a libretto by Henri Meilhac and Ludovic Halévy, that parodies the Bluebeard fairy tale.
- F. None of above. chosen
Provenance (5 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc824b448190865230eed8ef9ebf |
completed | April 20, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07145178bc8190a20032a44824f1ed |
completed | May 15, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a071597dbe4819092af8d5564abe4c1 |
completed | May 15, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07163cb15881908435e7d2fa68b06e |
completed | May 15, 2026, 12:49 p.m. |
Created at: April 10, 2026, 1:31 p.m.