Triple
T16291828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dixie Cooney |
E395541
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Dixie Martin |
E395541
|
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: Dixie Martin | Statement: [Dixie Cooney, alsoKnownAs, Dixie Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dixie Martin Context triple: [Dixie Cooney, alsoKnownAs, Dixie Martin]
-
A.
Dixie Leonard
Dixie Leonard is the brash, big-hearted USO singer played by Bette Midler in the film "For the Boys," whose career spans multiple wars as she entertains American troops alongside her comic partner.
-
B.
Dixie Dunbar
Dixie Dunbar was an American actress and tap dancer active in 1930s Hollywood musicals and comedies.
-
C.
Dee Murray
Dee Murray was an English bass guitarist best known for his long-time work with Elton John during the 1970s.
-
D.
Le Ly Hayslip
Le Ly Hayslip is a Vietnamese-American writer and humanitarian best known for her memoirs about surviving the Vietnam War and their adaptation into the film "Heaven & Earth."
-
E.
Dixie Cooney
chosen
Dixie Cooney is a beloved fictional character from the long-running American soap opera "All My Children," known for her dramatic romances and central role in many of the show's major storylines.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24919345881909ba4e7fe2e59340f |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f97895081909f22ded3507afe14 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:05 a.m.