Triple
T21437261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Love You, Man |
E528844
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Zooey Rice
Zooey Rice is a central character in the romantic comedy film "I Love You, Man," portrayed as the supportive fiancée of the protagonist.
|
E1485090
|
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: Zooey Rice | Statement: [I Love You, Man, mainCharacter, Zooey Rice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zooey Rice Context triple: [I Love You, Man, mainCharacter, Zooey Rice]
-
A.
Zooey
Zooey is a character portrayed by actress Melissa Rauch, best known for her work on the sitcom "The Big Bang Theory."
-
B.
Zooey
Zooey is the distinctive given name of American actress, singer, and songwriter Zooey Deschanel.
-
C.
Joely Richardson
Joely Richardson is an English actress known for her work in film and television, including roles in projects such as "Nip/Tuck" and various period dramas.
-
D.
Joely Fisher
Joely Fisher is an American actress and singer known for her roles in television series such as "Ellen" and "Til Death," as well as for being part of the prominent Fisher-Reynolds entertainment family.
-
E.
Natalie Zea
Natalie Zea is an American actress best known for her television work in series such as Justified, The Following, and The Detour.
- 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: Zooey Rice Triple: [I Love You, Man, mainCharacter, Zooey Rice]
Generated description
Zooey Rice is a central character in the romantic comedy film "I Love You, Man," portrayed as the supportive fiancée of the protagonist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zooey Rice Target entity description: Zooey Rice is a central character in the romantic comedy film "I Love You, Man," portrayed as the supportive fiancée of the protagonist.
-
A.
Zooey
Zooey is a character portrayed by actress Melissa Rauch, best known for her work on the sitcom "The Big Bang Theory."
-
B.
Zooey
Zooey is the distinctive given name of American actress, singer, and songwriter Zooey Deschanel.
-
C.
Joely Richardson
Joely Richardson is an English actress known for her work in film and television, including roles in projects such as "Nip/Tuck" and various period dramas.
-
D.
Joely Fisher
Joely Fisher is an American actress and singer known for her roles in television series such as "Ellen" and "Til Death," as well as for being part of the prominent Fisher-Reynolds entertainment family.
-
E.
Natalie Zea
Natalie Zea is an American actress best known for her television work in series such as Justified, The Following, and The Detour.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee8140a1fc8190bedf297cfc4d4841 |
completed | April 26, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c8fd41d08190a28e5efa6880b879 |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c97c16c88190ba27f2431fb8d8d3 |
completed | May 17, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ca639d74819094f368d15c1e7a1a |
completed | May 17, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:03 p.m.