Triple
T13222109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breaker High |
E314779
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Terri Conn
Terri Conn is an American actress best known for her roles on the soap operas "As the World Turns" and "One Life to Live."
|
E1027895
|
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: Terri Conn | Statement: [Breaker High, hasCastMember, Terri Conn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terri Conn Context triple: [Breaker High, hasCastMember, Terri Conn]
-
A.
Terri Alden
Terri Alden is a nurse and one of the main female roommates introduced later in the sitcom "Three's Company," known for her sweet but strong-willed personality.
-
B.
Terry Farrell
Terry Farrell is a prominent British architect known for his influential contributions to postmodern architecture, including major urban design and landmark building projects.
-
C.
Terri Robinson
Terri Robinson is a songwriter best known for her work on the track "Doin' It."
-
D.
Sheri Stowe
Sheri Stowe is the wife of American actor and director Peter Weller, known for his iconic role in the "RoboCop" films.
-
E.
Lori Petty
Lori Petty is an American actress best known for her energetic roles in films like "Point Break," "Tank Girl," and the baseball classic "A League of Their Own."
- 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: Terri Conn Triple: [Breaker High, hasCastMember, Terri Conn]
Generated description
Terri Conn is an American actress best known for her roles on the soap operas "As the World Turns" and "One Life to Live."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terri Conn Target entity description: Terri Conn is an American actress best known for her roles on the soap operas "As the World Turns" and "One Life to Live."
-
A.
Terri Alden
Terri Alden is a nurse and one of the main female roommates introduced later in the sitcom "Three's Company," known for her sweet but strong-willed personality.
-
B.
Terry Farrell
Terry Farrell is a prominent British architect known for his influential contributions to postmodern architecture, including major urban design and landmark building projects.
-
C.
Terri Robinson
Terri Robinson is a songwriter best known for her work on the track "Doin' It."
-
D.
Sheri Stowe
Sheri Stowe is the wife of American actor and director Peter Weller, known for his iconic role in the "RoboCop" films.
-
E.
Lori Petty
Lori Petty is an American actress best known for her energetic roles in films like "Point Break," "Tank Girl," and the baseball classic "A League of Their Own."
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff24be9881908b96f3e72325e55f |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7001924d48190af7d430cb258409a |
completed | May 3, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f700cfb43881909c903ec12b15065a |
completed | May 3, 2026, 8:01 a.m. |
Created at: April 9, 2026, 9:18 p.m.