Triple
T14706794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Cards |
E345447
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object |
Carrie Vaughn
Carrie Vaughn is an American author best known for her urban fantasy "Kitty Norville" series and contributions to shared-world projects like Wild Cards.
|
E1115825
|
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: Carrie Vaughn | Statement: [Wild Cards, hasContributor, Carrie Vaughn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carrie Vaughn Context triple: [Wild Cards, hasContributor, Carrie Vaughn]
-
A.
Gail Carriger
Gail Carriger is a bestselling American author known for her humorous steampunk and paranormal romance novels, particularly the Parasol Protectorate series.
-
B.
Margaret McTague
Margaret McTague was the wife of New York politician and long-serving U.S. Senator Robert F. Wagner.
-
C.
Kristen Kish
Kristen Kish is a Korean-American chef, television host, and restaurateur best known for winning Top Chef and later serving as the show's host and judge.
-
D.
Sarah Shephard
Sarah Shephard is a fictional character from the television series "Lost," known as Jack Shephard’s ex-wife.
-
E.
Jocelyn Harris
Jocelyn Harris is a fictional character portrayed by actress Alona Tal, best known from her role in the television series "Veronica Mars."
- 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: Carrie Vaughn Triple: [Wild Cards, hasContributor, Carrie Vaughn]
Generated description
Carrie Vaughn is an American author best known for her urban fantasy "Kitty Norville" series and contributions to shared-world projects like Wild Cards.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carrie Vaughn Target entity description: Carrie Vaughn is an American author best known for her urban fantasy "Kitty Norville" series and contributions to shared-world projects like Wild Cards.
-
A.
Gail Carriger
Gail Carriger is a bestselling American author known for her humorous steampunk and paranormal romance novels, particularly the Parasol Protectorate series.
-
B.
Margaret McTague
Margaret McTague was the wife of New York politician and long-serving U.S. Senator Robert F. Wagner.
-
C.
Kristen Kish
Kristen Kish is a Korean-American chef, television host, and restaurateur best known for winning Top Chef and later serving as the show's host and judge.
-
D.
Sarah Shephard
Sarah Shephard is a fictional character from the television series "Lost," known as Jack Shephard’s ex-wife.
-
E.
Jocelyn Harris
Jocelyn Harris is a fictional character portrayed by actress Alona Tal, best known from her role in the television series "Veronica Mars."
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb609965081908f654bcb9eaaa145 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf08a81948190ab903e5b8bfb0c81 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf396b65c819088e2f350364fbfae |
completed | May 8, 2026, 2:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf421390481909cb43aec3ef18d53 |
completed | May 8, 2026, 2:33 p.m. |
Created at: April 10, 2026, 1:28 a.m.