Triple
T20027693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiswell Dabney Langhorne |
E495030
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Phyllis Langhorne |
—
|
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: Phyllis Langhorne | Statement: [Chiswell Dabney Langhorne, child, Phyllis Langhorne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phyllis Langhorne Context triple: [Chiswell Dabney Langhorne, child, Phyllis Langhorne]
-
A.
Phyllis Langhorne
chosen
Phyllis Langhorne was a member of the prominent Langhorne family of Virginia, known as one of the socially influential Langhorne sisters in late 19th- and early 20th-century American and British high society.
-
B.
Phyllis Crane
Phyllis Crane is a no-nonsense, compassionate nurse and midwife in the British period drama series "Call the Midwife."
-
C.
Phyllis Holden
Phyllis Holden was an American occupational therapist best known as the first wife of longtime U.S. Senator and 1996 Republican presidential nominee Bob Dole.
-
D.
Phyllis Love
Phyllis Love was an American stage and screen actress known for her work in mid-20th-century films and Broadway productions.
-
E.
Phyllis Garr
Phyllis Garr is the mother of American actress and comedian Teri Garr.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628f67e081909b9e69dfbe2127ce |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:35 p.m.