Triple
T19199718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richie Havens |
E470072
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Havens |
—
|
NE NERFINISHED |
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: Havens | Statement: [Richie Havens, familyName, Havens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havens Context triple: [Richie Havens, familyName, Havens]
-
A.
Havens
chosen
Havens is the surname of Richie Havens, the American folk singer and guitarist best known for his iconic opening performance at the 1969 Woodstock Festival.
-
B.
Haven
"Haven" is a literary work by British writer and socialite Elizabeth Asquith, reflecting her early 20th-century intellectual and artistic milieu.
-
C.
Haven
Haven is a supernatural mystery television series set in a small Maine town plagued by strange, unexplained phenomena.
-
D.
Haven
Haven is the fictional war-torn city and primary battleground in Patrick Ness’s dystopian young adult novel "Monsters of Men."
-
E.
Haven
Haven is a 2000 melodic death metal album by Swedish band Dark Tranquillity, noted for its blend of aggressive riffs and atmospheric, keyboard-driven elements.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f9967ac081909106aa5ea447e94d |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 10, 2026, 12:07 p.m.