Triple
T7961803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Breaks |
E184882
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Wood Harris |
E680651
|
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: Wood Harris | Statement: [The Breaks, castMember, Wood Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wood Harris Context triple: [The Breaks, castMember, Wood Harris]
-
A.
Wood Harris
chosen
Wood Harris is an American actor best known for his roles in films like "Remember the Titans" and the television series "The Wire."
-
B.
Catherine Hicks
Catherine Hicks is an American actress best known for her role as Annie Camden on the long-running television series "7th Heaven."
-
C.
Robin Russell
Robin Russell is an editor known for her work on the film "Life-Size."
-
D.
Grace Van Patten
Grace Van Patten is an American actress known for her nuanced performances in independent films and television series, including notable roles in projects like "The Meyerowitz Stories" and "Nine Perfect Strangers."
-
E.
Blythe Danner
Blythe Danner is an American actress known for her work in film, television, and theater, including roles in "Meet the Parents" and numerous Broadway productions.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b8256dc8190a4b73df7aded9097 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccec8cfa80819082bc79645f33e18f |
completed | April 1, 2026, 9:59 a.m. |
Created at: March 30, 2026, 5:12 p.m.