Triple
T2379593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gala Dalí |
E46278
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Gala
Gala was the Russian-born muse, model, and wife of surrealist painter Salvador Dalí, renowned for her profound influence on his life and work.
|
E260148
|
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: Gala | Statement: [Gala Dalí, alsoKnownAs, Gala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gala Context triple: [Gala Dalí, alsoKnownAs, Gala]
-
A.
The Gala
The Gala is a flagship opening-night showcase of top local and international comedians, staged as a major televised charity event during the Melbourne International Comedy Festival.
-
B.
Diva
"Diva" is a swaggering, club-ready R&B/pop track by Beyoncé that celebrates female confidence and star power.
-
C.
Cecilia
Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
-
D.
Viva
Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
-
E.
Viva
Viva is a German music television channel that gained popularity in the 1990s and 2000s for its music videos, pop culture programming, and youth-oriented shows.
- 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: Gala Triple: [Gala Dalí, alsoKnownAs, Gala]
Generated description
Gala was the Russian-born muse, model, and wife of surrealist painter Salvador Dalí, renowned for her profound influence on his life and work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gala Target entity description: Gala was the Russian-born muse, model, and wife of surrealist painter Salvador Dalí, renowned for her profound influence on his life and work.
-
A.
The Gala
The Gala is a flagship opening-night showcase of top local and international comedians, staged as a major televised charity event during the Melbourne International Comedy Festival.
-
B.
Diva
"Diva" is a swaggering, club-ready R&B/pop track by Beyoncé that celebrates female confidence and star power.
-
C.
Cecilia
Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
-
D.
Viva
Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
-
E.
Viva
Viva is a German music television channel that gained popularity in the 1990s and 2000s for its music videos, pop culture programming, and youth-oriented shows.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b60c8c819080e4f682e4362a93 |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8b23680819085e0c7da7b4da9e1 |
completed | March 9, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69aea9a79c6081908706f9f1ca0d6c4d |
completed | March 9, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeaa12f3d88190b2a1dcc48817bae7 |
completed | March 9, 2026, 11:08 a.m. |
Created at: March 4, 2026, 7:57 p.m.