Triple
T13392980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Winchell |
E319620
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Walda Winchell
Walda Winchell is the daughter of influential American newspaper and radio gossip columnist Walter Winchell.
|
E1078036
|
NE FINISHED |
How this triple was built (4 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: Walda Winchell | Statement: [Walter Winchell, hasChild, Walda Winchell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walda Winchell Context triple: [Walter Winchell, hasChild, Walda Winchell]
-
A.
Marguerite Lauer
Marguerite Lauer was the wife of renowned French Egyptologist Jean-Philippe Lauer.
-
B.
Phyllis Shotwell
Phyllis Shotwell is a singer and musician best known for contributing music to the 1974 gambling-themed film "California Split."
-
C.
Myrna Fahey
Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
-
D.
Edda Winchell
Edda Winchell was the daughter of influential American newspaper and radio gossip columnist Walter Winchell.
-
E.
Lucille Bliss
Lucille Bliss was an American voice actress best known for her work in classic animated films and television, including early Disney productions and the original Smurfs series.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Walda Winchell Triple: [Walter Winchell, hasChild, Walda Winchell]
Generated description
Walda Winchell is the daughter of influential American newspaper and radio gossip columnist Walter Winchell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Walda Winchell Target entity description: Walda Winchell is the daughter of influential American newspaper and radio gossip columnist Walter Winchell.
-
A.
Marguerite Lauer
Marguerite Lauer was the wife of renowned French Egyptologist Jean-Philippe Lauer.
-
B.
Phyllis Shotwell
Phyllis Shotwell is a singer and musician best known for contributing music to the 1974 gambling-themed film "California Split."
-
C.
Myrna Fahey
Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
-
D.
Edda Winchell
Edda Winchell was the daughter of influential American newspaper and radio gossip columnist Walter Winchell.
-
E.
Lucille Bliss
Lucille Bliss was an American voice actress best known for her work in classic animated films and television, including early Disney productions and the original Smurfs series.
- F. None of above. chosen
Provenance (5 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d74e5881909828854bba7d9a87 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6419a3c8190bfaeab65f3909474 |
completed | May 7, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_69fcc60f872c8190bd75aeca60da7b26 |
completed | May 7, 2026, 5:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc6b607e48190bed023bb82a950cb |
completed | May 7, 2026, 5:07 p.m. |
Created at: April 9, 2026, 9:34 p.m.