Triple
T13446545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law & Order: LA |
E320498
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object |
Terri Polo
Terri Polo is an American actress best known for her roles in the "Meet the Parents" film series and the television drama "The Fosters."
|
E1044165
|
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 Polo | Statement: [Law & Order: LA, mainCastMember, Terri Polo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terri Polo Context triple: [Law & Order: LA, mainCastMember, Terri Polo]
-
A.
Teri Hudson
Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
-
B.
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."
-
C.
Teri Austin
Teri Austin is a Canadian actress best known for her role as the scheming Jill Bennett on the prime-time soap opera "Knots Landing."
-
D.
Chynna Phillips
Chynna Phillips is an American singer and actress best known as a member of the pop group Wilson Phillips.
-
E.
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.
- 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 Polo Triple: [Law & Order: LA, mainCastMember, Terri Polo]
Generated description
Terri Polo is an American actress best known for her roles in the "Meet the Parents" film series and the television drama "The Fosters."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terri Polo Target entity description: Terri Polo is an American actress best known for her roles in the "Meet the Parents" film series and the television drama "The Fosters."
-
A.
Teri Hudson
Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
-
B.
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."
-
C.
Teri Austin
Teri Austin is a Canadian actress best known for her role as the scheming Jill Bennett on the prime-time soap opera "Knots Landing."
-
D.
Chynna Phillips
Chynna Phillips is an American singer and actress best known as a member of the pop group Wilson Phillips.
-
E.
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.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef5f610819092cad33ef72075ff |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7547b484c8190881e869b3a722e89 |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f755a48af88190bd5c0a8a0659f50a |
completed | May 3, 2026, 2:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7560bf3f88190847adca083f236fe |
completed | May 3, 2026, 2:05 p.m. |
Created at: April 9, 2026, 9:40 p.m.