Triple
T17886515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Garrick |
E447213
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Joan Garrick
Joan Garrick is a supporting DC Comics character best known as the longtime wife and confidante of the original Flash, Jay Garrick.
|
E1339194
|
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: Joan Garrick | Statement: [Jay Garrick, spouse, Joan Garrick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Garrick Context triple: [Jay Garrick, spouse, Joan Garrick]
-
A.
Joan Gardner
Joan Gardner was an American voice actress known for her work in animated films and television specials during the mid-20th century.
-
B.
Joan Tremayne
Joan Tremayne was the wife of British-American radio, film, and television actor Les Tremayne.
-
C.
Lois Welch
Lois Welch is an American academic and literary scholar best known for her work preserving and promoting the legacy of her late husband, Native American author James Welch.
-
D.
Joan Davis
Joan Davis was an American comedic actress best known for her work in radio, film, and the early television sitcom "I Married Joan."
-
E.
Joan Drane
Joan Drane was the wife of American actor Lee Van Cleef, known for his roles in classic Western films.
- 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: Joan Garrick Triple: [Jay Garrick, spouse, Joan Garrick]
Generated description
Joan Garrick is a supporting DC Comics character best known as the longtime wife and confidante of the original Flash, Jay Garrick.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joan Garrick Target entity description: Joan Garrick is a supporting DC Comics character best known as the longtime wife and confidante of the original Flash, Jay Garrick.
-
A.
Joan Gardner
Joan Gardner was an American voice actress known for her work in animated films and television specials during the mid-20th century.
-
B.
Joan Tremayne
Joan Tremayne was the wife of British-American radio, film, and television actor Les Tremayne.
-
C.
Lois Welch
Lois Welch is an American academic and literary scholar best known for her work preserving and promoting the legacy of her late husband, Native American author James Welch.
-
D.
Joan Davis
Joan Davis was an American comedic actress best known for her work in radio, film, and the early television sitcom "I Married Joan."
-
E.
Joan Drane
Joan Drane was the wife of American actor Lee Van Cleef, known for his roles in classic Western films.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c13bd288190a0302010ba4d0532 |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052b1ba79c8190b320d8071cae664d |
completed | May 14, 2026, 1:53 a.m. |
| NEDg | Description generation | batch_6a052bf3949481908d2679bbe077ec0c |
completed | May 14, 2026, 1:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a052c8a8be48190a49d054a9d39ca2a |
completed | May 14, 2026, 1:59 a.m. |
Created at: April 10, 2026, 10:18 a.m.