Triple
T17903816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merle Dandridge |
E447648
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Greenleaf |
E217100
|
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: Greenleaf | Statement: [Merle Dandridge, notableWork, Greenleaf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenleaf Context triple: [Merle Dandridge, notableWork, Greenleaf]
-
A.
Greenleaf
Greenleaf is the middle name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
-
B.
Greenleaf
chosen
Greenleaf is a dramatic television series that explores the secrets, scandals, and power struggles within a wealthy African-American megachurch family.
-
C.
Greenleaf
"Greenleaf" is a short story by Flannery O’Connor that explores themes of faith, violence, and grace through the tense relationship between a farm owner and her hired family.
-
D.
Whiteleaf
Whiteleaf is a small village and residential area on the outskirts of Princes Risborough in Buckinghamshire, England, known for its scenic Chiltern Hills setting and the nearby Whiteleaf Cross chalk hill figure.
-
E.
Redfield
Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9a9cfc8190879fc36dfdeb562b |
completed | April 19, 2026, 9:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b2a27748190b620da54b4222a37 |
completed | May 12, 2026, 12:20 p.m. |
Created at: April 10, 2026, 10:19 a.m.