Triple
T5063442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Lane |
E114082
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Vincent Lane
Vincent Lane is the father of Jane Lane, a character from the animated television series "Daria."
|
E492829
|
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: Vincent Lane | Statement: [Jane Lane, parent, Vincent Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincent Lane Context triple: [Jane Lane, parent, Vincent Lane]
-
A.
Vincent Franklin
Vincent Franklin is a British character actor known for his work in television comedies and dramas such as "The Thick of It," "Cucumber," and "Bodyguard."
-
B.
Vaughn Franklin
Vaughn Franklin is one of the children of renowned Baptist minister and civil rights activist C. L. Franklin.
-
C.
Vincent Gaddis
Vincent Gaddis was an American writer and researcher best known for coining and popularizing the modern mystery surrounding the Bermuda Triangle in the mid-20th century.
-
D.
Vincent Regan
Vincent Regan is a British actor known for his roles in historical and action films such as "300," "Troy," and "Clash of the Titans."
-
E.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
- 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: Vincent Lane Triple: [Jane Lane, parent, Vincent Lane]
Generated description
Vincent Lane is the father of Jane Lane, a character from the animated television series "Daria."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vincent Lane Target entity description: Vincent Lane is the father of Jane Lane, a character from the animated television series "Daria."
-
A.
Vincent Franklin
Vincent Franklin is a British character actor known for his work in television comedies and dramas such as "The Thick of It," "Cucumber," and "Bodyguard."
-
B.
Vaughn Franklin
Vaughn Franklin is one of the children of renowned Baptist minister and civil rights activist C. L. Franklin.
-
C.
Vincent Gaddis
Vincent Gaddis was an American writer and researcher best known for coining and popularizing the modern mystery surrounding the Bermuda Triangle in the mid-20th century.
-
D.
Vincent Regan
Vincent Regan is a British actor known for his roles in historical and action films such as "300," "Troy," and "Clash of the Titans."
-
E.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd747756bc8190863c426e6fd6e8f7 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb10778208190a5c6a9457c085491 |
completed | March 21, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69beb17a173c8190b8d7603c3defce7d |
completed | March 21, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb206d1cc8190bb0be53494cc70ec |
completed | March 21, 2026, 2:58 p.m. |
Created at: March 20, 2026, 1:38 p.m.