Triple
T17746461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deborah Ann Woll |
E443002
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Woll
Woll is a surname most notably borne by American actress Deborah Ann Woll, known for her roles in series like "True Blood" and "Daredevil."
|
E1284724
|
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: Woll | Statement: [Deborah Ann Woll, familyName, Woll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woll Context triple: [Deborah Ann Woll, familyName, Woll]
-
A.
Wooli
Wooli is a small coastal village in New South Wales, Australia, known for its beaches, fishing, and proximity to Yuraygir National Park.
-
B.
Wooly
Wooly is the furry, anthropomorphic mammoth who serves as the official mascot of the Colorado Mammoth professional lacrosse team.
-
C.
Wonder Wools
Wonder Wools are special collectible yarn bundles in Yoshi’s Woolly World that, when fully gathered in a level, unlock new playable Yoshi patterns.
-
D.
Loden
Loden is a surname most notably associated with Barbara Loden, the American actress and filmmaker known for her groundbreaking independent film "Wanda."
-
E.
Breeda Wool
Breeda Wool is an American actress known for her roles in television dramas and thrillers, including a prominent part in the series "Mr. Mercedes."
- 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: Woll Triple: [Deborah Ann Woll, familyName, Woll]
Generated description
Woll is a surname most notably borne by American actress Deborah Ann Woll, known for her roles in series like "True Blood" and "Daredevil."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Woll Target entity description: Woll is a surname most notably borne by American actress Deborah Ann Woll, known for her roles in series like "True Blood" and "Daredevil."
-
A.
Wooli
Wooli is a small coastal village in New South Wales, Australia, known for its beaches, fishing, and proximity to Yuraygir National Park.
-
B.
Wooly
Wooly is the furry, anthropomorphic mammoth who serves as the official mascot of the Colorado Mammoth professional lacrosse team.
-
C.
Wonder Wools
Wonder Wools are special collectible yarn bundles in Yoshi’s Woolly World that, when fully gathered in a level, unlock new playable Yoshi patterns.
-
D.
Loden
Loden is a surname most notably associated with Barbara Loden, the American actress and filmmaker known for her groundbreaking independent film "Wanda."
-
E.
Breeda Wool
Breeda Wool is an American actress known for her roles in television dramas and thrillers, including a prominent part in the series "Mr. Mercedes."
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad26940819090696c2cb86fd606 |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a024300b5048190ba50198a7637441d |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a02449a76d8819099e72cd53f908255 |
completed | May 11, 2026, 9:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a024530b5dc8190a4776863cc01babf |
completed | May 11, 2026, 9:08 p.m. |
Created at: April 10, 2026, 10:09 a.m.