Triple
T13373255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brownstone |
E319118
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Maxee Maxwell |
E1036223
|
NE FINISHED |
How this triple was built (2 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: Maxee Maxwell | Statement: [Brownstone, hasFormerMember, Maxee Maxwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxee Maxwell Context triple: [Brownstone, hasFormerMember, Maxee Maxwell]
-
A.
Maxee Maxwell
chosen
Maxee Maxwell is an American R&B singer best known as a member of the 1990s female vocal group Brownstone.
-
B.
Maxwell Sheffield
Maxwell Sheffield is a wealthy, widowed Broadway producer and father of three who becomes the employer and eventual love interest of Fran Fine in the sitcom "The Nanny."
-
C.
Maxwell Jenkins
Maxwell Jenkins is an American actor best known for playing Will Robinson in the Netflix science fiction series "Lost in Space."
-
D.
Maxwell Caulfield
Maxwell Caulfield is a British-American actor best known for his roles in films like "Grease 2" and the TV series "Dynasty" and "The Colbys."
-
E.
Maxwell Khobe
Maxwell Khobe was a Nigerian military officer and general who played a prominent leadership role in West African peacekeeping operations, particularly through the ECOWAS Monitoring Group (ECOMOG).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcda64a48190b53243a763cd175b |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306a4c688190bfbf5e695b2fd5e5 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:33 p.m.