Triple
T11013601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Dusenberry |
E260303
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Tina Wilcox
Tina Wilcox is a fictional character portrayed by Ann Dusenberry, best known from the 1978 film "Jaws 2."
|
E1011978
|
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: Tina Wilcox | Statement: [Ann Dusenberry, playedCharacter, Tina Wilcox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tina Wilcox Context triple: [Ann Dusenberry, playedCharacter, Tina Wilcox]
-
A.
Paula Wilcox
Paula Wilcox is an English actress best known for her extensive work in British television sitcoms and dramas since the 1970s.
-
B.
Jennifer Cossitt
Jennifer Cossitt is a Canadian politician who has served as the elected representative for the Leeds—Grenville electoral district.
-
C.
Tina Moss
Tina Moss is known as the wife of the late American record executive and A&M Records co-founder Jerry Moss.
-
D.
Diane Whittlesey
Diane Whittlesey is a corrections officer character on the HBO prison drama series "Oz," portrayed by actress Edie Falco.
-
E.
Tina Landon
Tina Landon is an acclaimed American choreographer best known for creating iconic dance routines for major pop artists and their music videos, including work with Janet Jackson, Rihanna, and Jennifer Lopez.
- 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: Tina Wilcox Triple: [Ann Dusenberry, playedCharacter, Tina Wilcox]
Generated description
Tina Wilcox is a fictional character portrayed by Ann Dusenberry, best known from the 1978 film "Jaws 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tina Wilcox Target entity description: Tina Wilcox is a fictional character portrayed by Ann Dusenberry, best known from the 1978 film "Jaws 2."
-
A.
Paula Wilcox
Paula Wilcox is an English actress best known for her extensive work in British television sitcoms and dramas since the 1970s.
-
B.
Jennifer Cossitt
Jennifer Cossitt is a Canadian politician who has served as the elected representative for the Leeds—Grenville electoral district.
-
C.
Tina Moss
Tina Moss is known as the wife of the late American record executive and A&M Records co-founder Jerry Moss.
-
D.
Diane Whittlesey
Diane Whittlesey is a corrections officer character on the HBO prison drama series "Oz," portrayed by actress Edie Falco.
-
E.
Tina Landon
Tina Landon is an acclaimed American choreographer best known for creating iconic dance routines for major pop artists and their music videos, including work with Janet Jackson, Rihanna, and Jennifer Lopez.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978b1e888190b297f107f6021b59 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af38e3548190a5192894932d9b1d |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b02e3b9881909387c1f70176a1bd |
completed | May 3, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b121fdb881909a9a321794a3b8f1 |
completed | May 3, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:25 p.m.