Triple
T13469293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck Brown |
E311585
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Nekos Brown
Nekos Brown is known as one of the children of legendary go-go musician Chuck Brown.
|
E1042169
|
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: Nekos Brown | Statement: [Chuck Brown, hasChild, Nekos Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nekos Brown Context triple: [Chuck Brown, hasChild, Nekos Brown]
-
A.
Calico
Calico is a research and development company founded by Google that focuses on understanding aging and developing technologies to extend human lifespan.
-
B.
Mr. Goodkat
Mr. Goodkat is a mysterious, highly skilled hitman central to the plot of the crime thriller film "Lucky Number Slevin."
-
C.
Browny
Browny is a small, agile combat robot character from the run-and-gun video game Contra: Hard Corps, known for his high mobility and unique weaponry.
-
D.
Gato
Gato is the nickname of Argentine jazz saxophonist and composer Gato Barbieri, known for his passionate playing style and contributions to Latin jazz.
-
E.
Gatti
Gatti is an Italian surname shared by various notable individuals, including conductor Daniele Gatti.
- 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: Nekos Brown Triple: [Chuck Brown, hasChild, Nekos Brown]
Generated description
Nekos Brown is known as one of the children of legendary go-go musician Chuck Brown.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nekos Brown Target entity description: Nekos Brown is known as one of the children of legendary go-go musician Chuck Brown.
-
A.
Calico
Calico is a research and development company founded by Google that focuses on understanding aging and developing technologies to extend human lifespan.
-
B.
Mr. Goodkat
Mr. Goodkat is a mysterious, highly skilled hitman central to the plot of the crime thriller film "Lucky Number Slevin."
-
C.
Browny
Browny is a small, agile combat robot character from the run-and-gun video game Contra: Hard Corps, known for his high mobility and unique weaponry.
-
D.
Gato
Gato is the nickname of Argentine jazz saxophonist and composer Gato Barbieri, known for his passionate playing style and contributions to Latin jazz.
-
E.
Gatti
Gatti is an Italian surname shared by various notable individuals, including conductor Daniele Gatti.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf21e46081908a00c9acf54f270f |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7462bcb848190804a48f1a50a0c71 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74af641f881908af981d251e671be |
completed | May 3, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74b78bd508190a10708572a6e9309 |
completed | May 3, 2026, 1:19 p.m. |
Created at: April 9, 2026, 9:42 p.m.