Triple
T16636432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Ross |
E404215
|
entity |
| Predicate | isRelatedSurname |
P3889
|
FINISHED |
| Object |
Rossé
Rossé is a surname of likely French origin that is closely related to or derived from the surname de Ross.
|
E1224438
|
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: Rossé | Statement: [de Ross, isRelatedSurname, Rossé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rossé Context triple: [de Ross, isRelatedSurname, Rossé]
-
A.
Rubini
Rubini is an Italian surname most notably associated with actor and film director Sergio Rubini.
-
B.
Rossa
Rossa is an alternative name for Hürrem Sultan, the influential 16th-century wife of Ottoman Sultan Suleiman the Magnificent and a powerful political figure in the empire.
-
C.
Rossio
Rossio is a central Lisbon square and major transport hub known for its historic architecture, lively atmosphere, and role as a key meeting point in the city.
-
D.
Roisel
Roisel is a small commune in the Somme department of northern France, situated within the historical region of Picardy.
-
E.
Nicollier
Nicollier is the surname of Claude Nicollier, a Swiss astrophysicist and former ESA astronaut known for his Space Shuttle missions and work on the Hubble Space Telescope.
- 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: Rossé Triple: [de Ross, isRelatedSurname, Rossé]
Generated description
Rossé is a surname of likely French origin that is closely related to or derived from the surname de Ross.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rossé Target entity description: Rossé is a surname of likely French origin that is closely related to or derived from the surname de Ross.
-
A.
Rubini
Rubini is an Italian surname most notably associated with actor and film director Sergio Rubini.
-
B.
Rossa
Rossa is an alternative name for Hürrem Sultan, the influential 16th-century wife of Ottoman Sultan Suleiman the Magnificent and a powerful political figure in the empire.
-
C.
Rossio
Rossio is a central Lisbon square and major transport hub known for its historic architecture, lively atmosphere, and role as a key meeting point in the city.
-
D.
Roisel
Roisel is a small commune in the Somme department of northern France, situated within the historical region of Picardy.
-
E.
Nicollier
Nicollier is the surname of Claude Nicollier, a Swiss astrophysicist and former ESA astronaut known for his Space Shuttle missions and work on the Hubble Space Telescope.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378ea4b848190bf7c95dad8a855f0 |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dc28df48190b01c1328df24df60 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e8cff9881908c6b86da38fc2f08 |
completed | May 10, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f53918481908d84ecf50a562266 |
completed | May 10, 2026, 12:51 p.m. |
Created at: April 10, 2026, 5:17 a.m.