Triple
T3754390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Square Pegs |
E82010
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Anne Beatts
Anne Beatts was an American comedy writer and producer best known for her pioneering work on Saturday Night Live and for creating influential, offbeat television comedy.
|
E385579
|
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: Anne Beatts | Statement: [Square Pegs, creator, Anne Beatts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Beatts Context triple: [Square Pegs, creator, Anne Beatts]
-
A.
Ann Buck
Ann Buck is known as the former wife of American sportscaster Joe Buck.
-
B.
Betsy Rue
Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
-
C.
May Davies
May Davies was the mother of Romanian-born American actor and producer John Houseman.
-
D.
Ann Hearn
Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
-
E.
Shiri Appleby
Shiri Appleby is an American actress best known for her lead role in the TV series "Roswell" and her later work on shows like "UnREAL."
- 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: Anne Beatts Triple: [Square Pegs, creator, Anne Beatts]
Generated description
Anne Beatts was an American comedy writer and producer best known for her pioneering work on Saturday Night Live and for creating influential, offbeat television comedy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Beatts Target entity description: Anne Beatts was an American comedy writer and producer best known for her pioneering work on Saturday Night Live and for creating influential, offbeat television comedy.
-
A.
Ann Buck
Ann Buck is known as the former wife of American sportscaster Joe Buck.
-
B.
Betsy Rue
Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
-
C.
May Davies
May Davies was the mother of Romanian-born American actor and producer John Houseman.
-
D.
Ann Hearn
Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
-
E.
Shiri Appleby
Shiri Appleby is an American actress best known for her lead role in the TV series "Roswell" and her later work on shows like "UnREAL."
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb94ffc08190a7fd1ce71a15f787 |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e50825588190b620950ac1d4f408 |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e5cd3b3c8190af6ca28a6772625c |
completed | March 14, 2026, 4:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e671e02c819094cae2a3a2abb1b4 |
completed | March 14, 2026, 4:39 a.m. |
Created at: March 8, 2026, 3:35 p.m.