Triple
T3121176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lymari Nadal |
E65186
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lymari
Lymari is a Puerto Rican actress and film producer best known for her roles in movies such as "American Gangster" and "Battlestar Galactica: The Plan."
|
E328542
|
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: Lymari | Statement: [Lymari Nadal, givenName, Lymari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lymari Context triple: [Lymari Nadal, givenName, Lymari]
-
A.
Neira
Neira is a Colombian town and municipality located in the Caldas Department in the Andean region of the country.
-
B.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
C.
Jimalalud
Jimalalud is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and rural communities.
-
D.
Huraymila
Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
-
E.
Jandali
Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
- 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: Lymari Triple: [Lymari Nadal, givenName, Lymari]
Generated description
Lymari is a Puerto Rican actress and film producer best known for her roles in movies such as "American Gangster" and "Battlestar Galactica: The Plan."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lymari Target entity description: Lymari is a Puerto Rican actress and film producer best known for her roles in movies such as "American Gangster" and "Battlestar Galactica: The Plan."
-
A.
Neira
Neira is a Colombian town and municipality located in the Caldas Department in the Andean region of the country.
-
B.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
C.
Jimalalud
Jimalalud is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and rural communities.
-
D.
Huraymila
Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
-
E.
Jandali
Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5295cd481908d52e165538c67fa |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f6bc644819093a7cab7220f4ca0 |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b21065c6208190bde60417ba23997b |
completed | March 12, 2026, 1:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b210c280ec819081ded9261dc59cf3 |
completed | March 12, 2026, 1:02 a.m. |
Created at: March 8, 2026, 3:04 p.m.