Triple
T12209651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Brown |
E290921
|
entity |
| Predicate | livesWith |
P4704
|
FINISHED |
| Object | Judy Brown |
E1164359
|
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: Judy Brown | Statement: [Mr. Brown, livesWith, Judy Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judy Brown Context triple: [Mr. Brown, livesWith, Judy Brown]
-
A.
Judy Brown
chosen
Judy Brown is a fictional child character, likely a young girl, known primarily in relation to her father, Mr. Brown.
-
B.
Nancy Weston
Nancy Weston was the mother of prominent African American lawyer, journalist, and civil rights leader Archibald Grimké.
-
C.
Nancy Weston
Nancy Weston is a central character on the late-1980s television drama "thirtysomething," known for her complex personal struggles and evolving relationships within the show's close-knit group of friends.
-
D.
Judy Gest
Judy Gest is a member of the Gest family, known primarily as a relative of the late American producer and television personality David Gest.
-
E.
Judy Nye
Judy Nye is known primarily for being the first wife of American media mogul and CNN founder Ted Turner.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7ed4688190b0546b784e36b0ec |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f1f80648190a4a0e8260ac95194 |
completed | May 9, 2026, 4:21 p.m. |
Created at: April 8, 2026, 9:51 p.m.