Triple
T3476820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10 Day |
E73394
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Lili K.
Lili K. is a Chicago-based neo-soul and jazz vocalist known for her smooth, soulful tone and collaborations within the contemporary R&B and hip-hop scenes.
|
E361726
|
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: Lili K. | Statement: [10 Day, featuresArtist, Lili K.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lili K. Context triple: [10 Day, featuresArtist, Lili K.]
-
A.
Lila Lee
Lila Lee was a popular American silent film actress of the 1910s and 1920s, known for her girl-next-door charm and roles in major productions of the era.
-
B.
Lili Gentle
Lili Gentle is an American actress known for her film and television roles in the 1950s and 1960s.
-
C.
Lili
Lili is a 1953 musical fantasy film starring Leslie Caron as a naive orphan who joins a carnival and forms a touching bond with a puppeteer.
-
D.
Lili
Lili is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
-
E.
Jennifer Lien
Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
- 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: Lili K. Triple: [10 Day, featuresArtist, Lili K.]
Generated description
Lili K. is a Chicago-based neo-soul and jazz vocalist known for her smooth, soulful tone and collaborations within the contemporary R&B and hip-hop scenes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lili K. Target entity description: Lili K. is a Chicago-based neo-soul and jazz vocalist known for her smooth, soulful tone and collaborations within the contemporary R&B and hip-hop scenes.
-
A.
Lila Lee
Lila Lee was a popular American silent film actress of the 1910s and 1920s, known for her girl-next-door charm and roles in major productions of the era.
-
B.
Lili Gentle
Lili Gentle is an American actress known for her film and television roles in the 1950s and 1960s.
-
C.
Lili
Lili is a 1953 musical fantasy film starring Leslie Caron as a naive orphan who joins a carnival and forms a touching bond with a puppeteer.
-
D.
Lili
Lili is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
-
E.
Jennifer Lien
Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb5a5cb88190be5624ae224e4c91 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3681586788190ade529f584b76396 |
completed | March 13, 2026, 1:27 a.m. |
| NEDg | Description generation | batch_69b3696adb2c81909f67c90c31921097 |
completed | March 13, 2026, 1:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36d2bd5e88190b425e71d2585e9dc |
completed | March 13, 2026, 1:49 a.m. |
Created at: March 8, 2026, 3:17 p.m.