Triple
T14410364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancey Foux |
E357305
|
entity |
| Predicate | hasCollaborationWith |
P398
|
FINISHED |
| Object |
Bakar
Bakar is a British singer and songwriter known for his genre-blending style that fuses indie rock, hip-hop, and alternative R&B.
|
E1098158
|
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: Bakar | Statement: [Lancey Foux, hasCollaborationWith, Bakar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bakar Context triple: [Lancey Foux, hasCollaborationWith, Bakar]
-
A.
Bakar
Bakar is a historic coastal town and port on the Adriatic Sea in western Croatia.
-
B.
Bagar
Bagar is a town in the Jhunjhunu district of Rajasthan, India, known for its historic havelis and rich Marwari cultural heritage.
-
C.
Bakiga
The Bakiga are a Bantu-speaking ethnic group known for their terraced farming, hilly homeland in southwestern Uganda, and rich traditions of dance and communal labor.
-
D.
Bakish
Bakish is the surname of Bob Bakish, an American media executive best known as the former president and CEO of Paramount Global (formerly ViacomCBS).
-
E.
Bara
Bara is a town in central Sudan known as an agricultural and trading center in North Kordofan State.
- 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: Bakar Triple: [Lancey Foux, hasCollaborationWith, Bakar]
Generated description
Bakar is a British singer and songwriter known for his genre-blending style that fuses indie rock, hip-hop, and alternative R&B.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bakar Target entity description: Bakar is a British singer and songwriter known for his genre-blending style that fuses indie rock, hip-hop, and alternative R&B.
-
A.
Bakar
Bakar is a historic coastal town and port on the Adriatic Sea in western Croatia.
-
B.
Bagar
Bagar is a town in the Jhunjhunu district of Rajasthan, India, known for its historic havelis and rich Marwari cultural heritage.
-
C.
Bakiga
The Bakiga are a Bantu-speaking ethnic group known for their terraced farming, hilly homeland in southwestern Uganda, and rich traditions of dance and communal labor.
-
D.
Bakish
Bakish is the surname of Bob Bakish, an American media executive best known as the former president and CEO of Paramount Global (formerly ViacomCBS).
-
E.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90c9b3448190aec1608836a5e913 |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd55269d8c81909592277741a93db6 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd58216a8c8190b1fffcb670f15e16 |
completed | May 8, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd589144b8819099aadef126b8728f |
completed | May 8, 2026, 3:29 a.m. |
Created at: April 10, 2026, 1:17 a.m.