Triple
T11813931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Dowd |
E280947
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Good Behavior |
E315260
|
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: Good Behavior | Statement: [Ann Dowd, notableWork, Good Behavior]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Behavior Context triple: [Ann Dowd, notableWork, Good Behavior]
-
A.
Good Behavior
Good Behavior is a crime drama television series starring Michelle Dockery as a troubled con artist and thief trying to rebuild her life.
-
B.
Goode Behavior
Goode Behavior is a short-lived 1990s American sitcom starring Sherman Hemsley as a mischievous ex-con living with his strait-laced son and family.
-
C.
Good Behavior (TV series)
chosen
Good Behavior is an American drama television series following a troubled con artist and thief, played by Michelle Dockery, as she becomes entangled with a hitman while trying to rebuild her life.
-
D.
Be Good
"Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
-
E.
Be Good
"Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5cba708819097467bb7aca7fc65 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131a01aa48190bf5a70759ac886f6 |
completed | April 28, 2026, 10:16 p.m. |
Created at: April 8, 2026, 9:42 p.m.