Triple
T2483834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nella Larsen |
E55879
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nellallitea
Nellallitea is the birth name of Nella Larsen, the influential Harlem Renaissance novelist and short story writer known for exploring race and identity.
|
E270986
|
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: Nellallitea | Statement: [Nella Larsen, givenName, Nellallitea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nellallitea Context triple: [Nella Larsen, givenName, Nellallitea]
-
A.
Ulladulla
Ulladulla is a coastal town in New South Wales, Australia, known for its fishing harbour, beaches, and role as a popular holiday destination.
-
B.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
C.
Palilula
Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
-
D.
Nelonen
Nelonen is a prominent Finnish commercial television channel known for broadcasting a wide range of entertainment, drama, reality shows, and sports programming.
-
E.
Vallentuna
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
- 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: Nellallitea Triple: [Nella Larsen, givenName, Nellallitea]
Generated description
Nellallitea is the birth name of Nella Larsen, the influential Harlem Renaissance novelist and short story writer known for exploring race and identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nellallitea Target entity description: Nellallitea is the birth name of Nella Larsen, the influential Harlem Renaissance novelist and short story writer known for exploring race and identity.
-
A.
Ulladulla
Ulladulla is a coastal town in New South Wales, Australia, known for its fishing harbour, beaches, and role as a popular holiday destination.
-
B.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
C.
Palilula
Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
-
D.
Nelonen
Nelonen is a prominent Finnish commercial television channel known for broadcasting a wide range of entertainment, drama, reality shows, and sports programming.
-
E.
Vallentuna
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1644b5881908d2931a1dfbbd03b |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17b7b4f08190b23af81c696bba4e |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af1ba6e1408190ac021c1c1d1c3b2e |
completed | March 9, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1c53dbe481908f73e1fe8d61c32e |
completed | March 9, 2026, 7:15 p.m. |
Created at: March 6, 2026, 9:45 p.m.