Triple
T23128482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willow Rosenberg |
E577101
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object |
Kennedy
Kennedy is a potential Slayer and later romantic partner of Willow Rosenberg in the television series "Buffy the Vampire Slayer."
|
E1571150
|
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: Kennedy | Statement: [Willow Rosenberg, loveInterest, Kennedy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kennedy Context triple: [Willow Rosenberg, loveInterest, Kennedy]
-
A.
Kennedy
Kennedy is a prominent Irish-American political and public-service family best known for producing U.S. President John F. Kennedy and numerous other influential politicians.
-
B.
Kennedy
Kennedy is a given name shared by various notable individuals across fields such as politics, music, and entertainment.
-
C.
Kennedy
Kennedy is a vast rural federal electoral division in Queensland, Australia, known for encompassing remote outback communities and mining towns.
-
D.
Kennedy
Kennedy is a scholar associated with the field of Classics, likely known for significant contributions to classical studies or literature.
-
E.
JFK
JFK is a 1991 political thriller film directed by Oliver Stone that explores the conspiracy theories surrounding the assassination of U.S. President John F. Kennedy.
- 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: Kennedy Triple: [Willow Rosenberg, loveInterest, Kennedy]
Generated description
Kennedy is a potential Slayer and later romantic partner of Willow Rosenberg in the television series "Buffy the Vampire Slayer."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kennedy Target entity description: Kennedy is a potential Slayer and later romantic partner of Willow Rosenberg in the television series "Buffy the Vampire Slayer."
-
A.
Kennedy
Kennedy is a prominent Irish-American political and public-service family best known for producing U.S. President John F. Kennedy and numerous other influential politicians.
-
B.
Kennedy
Kennedy is a given name shared by various notable individuals across fields such as politics, music, and entertainment.
-
C.
Kennedy
Kennedy is a vast rural federal electoral division in Queensland, Australia, known for encompassing remote outback communities and mining towns.
-
D.
Kennedy
Kennedy is a scholar associated with the field of Classics, likely known for significant contributions to classical studies or literature.
-
E.
JFK
JFK is John F. Kennedy International Airport, a major international air travel hub serving New York City.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e857b40819081f9df03fff64d48 |
completed | April 29, 2026, 4:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23f606048190943cc7d879ffcfa2 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271f3c24819093f04fc69ae90160 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c27e86440819089fae3350b29d722 |
completed | May 19, 2026, 9:05 a.m. |
Created at: April 17, 2026, 4 p.m.