Triple
T14878406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cage & Fish |
E349928
|
entity |
| Predicate | employsFictionalCharacter |
P26582
|
FINISHED |
| Object |
Georgia Thomas
Georgia Thomas is a fictional attorney and partner at the Boston law firm in the television series "Ally McBeal."
|
E1134193
|
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: Georgia Thomas | Statement: [Cage & Fish, employsFictionalCharacter, Georgia Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgia Thomas Context triple: [Cage & Fish, employsFictionalCharacter, Georgia Thomas]
-
A.
Mary Matthews
Mary Matthews is the idealistic socialite protagonist of the 1945 political drama film "State of the Union," who becomes entangled in her husband's bid for the U.S. presidency.
-
B.
Georgia Davis
Georgia Davis was the second wife of American comedian and actor Red Skelton, with whom she shared both personal and professional aspects of his entertainment career.
-
C.
Mary Bullock
Mary Bullock was the wife of Amos Kendall, a prominent 19th-century American journalist, politician, and U.S. Postmaster General.
-
D.
Martha Bullock
Martha Bullock is a fictional character from the television series "Deadwood," known as the refined and resilient wife of lawman Seth Bullock.
-
E.
Mary Luckett
Mary Luckett is known as the spouse of Ben Luckett.
- 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: Georgia Thomas Triple: [Cage & Fish, employsFictionalCharacter, Georgia Thomas]
Generated description
Georgia Thomas is a fictional attorney and partner at the Boston law firm in the television series "Ally McBeal."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Georgia Thomas Target entity description: Georgia Thomas is a fictional attorney and partner at the Boston law firm in the television series "Ally McBeal."
-
A.
Mary Matthews
Mary Matthews is the idealistic socialite protagonist of the 1945 political drama film "State of the Union," who becomes entangled in her husband's bid for the U.S. presidency.
-
B.
Georgia Davis
Georgia Davis was the second wife of American comedian and actor Red Skelton, with whom she shared both personal and professional aspects of his entertainment career.
-
C.
Mary Bullock
Mary Bullock was the wife of Amos Kendall, a prominent 19th-century American journalist, politician, and U.S. Postmaster General.
-
D.
Martha Bullock
Martha Bullock is a fictional character from the television series "Deadwood," known as the refined and resilient wife of lawman Seth Bullock.
-
E.
Mary Luckett
Mary Luckett is known as the spouse of Ben Luckett.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e4e4448190a8796573bc6d1069 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dbf1f5c8190ad4626d14e0d8109 |
completed | May 9, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fea10834ac8190b4fbd0a165439110 |
completed | May 9, 2026, 2:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea19745c08190b0efd33ee3f97fe1 |
completed | May 9, 2026, 2:53 a.m. |
Created at: April 10, 2026, 1:55 a.m.