Triple
T13264150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Berkley |
E315872
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Greg Lauren
Greg Lauren is an American painter and fashion designer, and the nephew of fashion icon Ralph Lauren.
|
E1031152
|
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: Greg Lauren | Statement: [Elizabeth Berkley, spouse, Greg Lauren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Lauren Context triple: [Elizabeth Berkley, spouse, Greg Lauren]
-
A.
Greg Latter
Greg Latter is a screenwriter best known for his work on the apartheid-era drama film "Goodbye Bafana."
-
B.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
-
C.
Jeremy Leary
Jeremy Leary is a voice actor best known for portraying the young version of Carl Fredricksen in Pixar’s animated film "Up."
-
D.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
E.
Justin Elicker
Justin Elicker is an American politician who serves as the mayor of New Haven, Connecticut, known for his focus on urban development, education, and social equity.
- 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: Greg Lauren Triple: [Elizabeth Berkley, spouse, Greg Lauren]
Generated description
Greg Lauren is an American painter and fashion designer, and the nephew of fashion icon Ralph Lauren.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greg Lauren Target entity description: Greg Lauren is an American painter and fashion designer, and the nephew of fashion icon Ralph Lauren.
-
A.
Greg Latter
Greg Latter is a screenwriter best known for his work on the apartheid-era drama film "Goodbye Bafana."
-
B.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
-
C.
Jeremy Leary
Jeremy Leary is a voice actor best known for portraying the young version of Carl Fredricksen in Pixar’s animated film "Up."
-
D.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
E.
Justin Elicker
Justin Elicker is an American politician who serves as the mayor of New Haven, Connecticut, known for his focus on urban development, education, and social equity.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901c65048190bd8b3c4872f22520 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4ad79c8190b1304942dc48c0ff |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b37ebe081909ed2ae0f42ccad2d |
completed | May 3, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70ca343f08190b6484f464ed40810 |
completed | May 3, 2026, 8:51 a.m. |
Created at: April 9, 2026, 9:25 p.m.