Triple
T14531608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travis Barker |
E340926
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Melissa Kennedy
Melissa Kennedy is an American woman best known for her brief early-2000s marriage to Blink-182 drummer Travis Barker.
|
E1104144
|
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: Melissa Kennedy | Statement: [Travis Barker, spouse, Melissa Kennedy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melissa Kennedy Context triple: [Travis Barker, spouse, Melissa Kennedy]
-
A.
Mariette Larkin
Mariette Larkin is the charming, free-spirited eldest daughter of the Larkin family in H.E. Bates’s rural English comedy series "The Darling Buds of May."
-
B.
Sarah Greer
Sarah Greer is a British academic and higher education leader who serves as Vice-Chancellor of the University of Winchester.
-
C.
Melissa Greer
Melissa Greer is a person notable enough to be specifically cited as a bearer of the surname Greer.
-
D.
Mimi Kennedy
Mimi Kennedy is an American actress and author known for her work in film, television, and theater, including roles in series like "Dharma & Greg" and "Mom."
-
E.
Lisa McDowell
Lisa McDowell is the intelligent, independent love interest of Prince Akeem in the 1988 comedy film "Coming to America," known for challenging social expectations and valuing character over wealth.
- 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: Melissa Kennedy Triple: [Travis Barker, spouse, Melissa Kennedy]
Generated description
Melissa Kennedy is an American woman best known for her brief early-2000s marriage to Blink-182 drummer Travis Barker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melissa Kennedy Target entity description: Melissa Kennedy is an American woman best known for her brief early-2000s marriage to Blink-182 drummer Travis Barker.
-
A.
Mariette Larkin
Mariette Larkin is the charming, free-spirited eldest daughter of the Larkin family in H.E. Bates’s rural English comedy series "The Darling Buds of May."
-
B.
Sarah Greer
Sarah Greer is a British academic and higher education leader who serves as Vice-Chancellor of the University of Winchester.
-
C.
Melissa Greer
Melissa Greer is a person notable enough to be specifically cited as a bearer of the surname Greer.
-
D.
Mimi Kennedy
Mimi Kennedy is an American actress and author known for her work in film, television, and theater, including roles in series like "Dharma & Greg" and "Mom."
-
E.
Lisa McDowell
Lisa McDowell is the intelligent, independent love interest of Prince Akeem in the 1988 comedy film "Coming to America," known for challenging social expectations and valuing character over wealth.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea052d01c81909c8592c351be6f35 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a56872c8190a6d2421cb81aeeb1 |
completed | May 8, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69fd7c7764188190b1601bea3b74f4c2 |
completed | May 8, 2026, 6:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7d3ddc908190ab3afe1a1ab51ac2 |
completed | May 8, 2026, 6:05 a.m. |
Created at: April 10, 2026, 1:22 a.m.