Triple
T3819723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haskell Wexler |
E84342
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Rita Taggart
Rita Taggart is an American actress known for her character roles in film and television since the 1970s.
|
E393301
|
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: Rita Taggart | Statement: [Haskell Wexler, spouse, Rita Taggart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rita Taggart Context triple: [Haskell Wexler, spouse, Rita Taggart]
-
A.
Rita Johnson
Rita Johnson was an American character actress active in the 1930s and 1940s, known for her supporting roles in Hollywood films.
-
B.
Janet McQueen
Janet McQueen is a sibling of the renowned British fashion designer Alexander McQueen.
-
C.
Marla Gibbs
Marla Gibbs is an American actress and comedian best known for her Emmy-nominated role as the sharp-tongued maid Florence Johnston on the classic sitcom "The Jeffersons."
-
D.
Lina Lamont
Lina Lamont is a comically vain, shrill-voiced silent film star whose struggle to adapt to talking pictures drives much of the humor and conflict in the classic musical film "Singin' in the Rain."
-
E.
Geraldine Laybourne
Geraldine Laybourne is an American media executive best known for her pioneering leadership at Nickelodeon and for co-founding and leading the women-focused cable network Oxygen.
- 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: Rita Taggart Triple: [Haskell Wexler, spouse, Rita Taggart]
Generated description
Rita Taggart is an American actress known for her character roles in film and television since the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rita Taggart Target entity description: Rita Taggart is an American actress known for her character roles in film and television since the 1970s.
-
A.
Rita Johnson
Rita Johnson was an American character actress active in the 1930s and 1940s, known for her supporting roles in Hollywood films.
-
B.
Janet McQueen
Janet McQueen is a sibling of the renowned British fashion designer Alexander McQueen.
-
C.
Marla Gibbs
Marla Gibbs is an American actress and comedian best known for her Emmy-nominated role as the sharp-tongued maid Florence Johnston on the classic sitcom "The Jeffersons."
-
D.
Lina Lamont
Lina Lamont is a comically vain, shrill-voiced silent film star whose struggle to adapt to talking pictures drives much of the humor and conflict in the classic musical film "Singin' in the Rain."
-
E.
Geraldine Laybourne
Geraldine Laybourne is an American media executive best known for her pioneering leadership at Nickelodeon and for co-founding and leading the women-focused cable network Oxygen.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeea601d408190b09dc486e77488d4 |
completed | March 9, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503f75f6c8190b9af77ed212a2774 |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b504a31de08190b543549a2b05b038 |
completed | March 14, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5084c8bd48190b7afc80bed196c90 |
completed | March 14, 2026, 7:03 a.m. |
Created at: March 9, 2026, 3:17 p.m.