Triple
T20205985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samira Wiley |
E493351
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lauren Morelli
Lauren Morelli is an American television writer and producer best known for her work on the Netflix series "Orange Is the New Black."
|
E1418283
|
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: Lauren Morelli | Statement: [Samira Wiley, spouse, Lauren Morelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Morelli Context triple: [Samira Wiley, spouse, Lauren Morelli]
-
A.
Nicole D'Ovidio
Nicole D'Ovidio is a screenwriter best known for crafting the story for the 2013 thriller film "The Call."
-
B.
Drea de Matteo
Drea de Matteo is an American actress best known for her Emmy-winning role as Adriana La Cerva on the television series "The Sopranos."
-
C.
Lauren Gurgiolo
Lauren Gurgiolo is an American guitarist and multi-instrumentalist best known for her work in the indie rock scene, including her tenure with the band Okkervil River.
-
D.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
-
E.
Alyssa Mastromonaco
Alyssa Mastromonaco is an American political strategist and former senior Obama administration official known for her work in White House operations and later as a media executive and author.
- 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: Lauren Morelli Triple: [Samira Wiley, spouse, Lauren Morelli]
Generated description
Lauren Morelli is an American television writer and producer best known for her work on the Netflix series "Orange Is the New Black."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Morelli Target entity description: Lauren Morelli is an American television writer and producer best known for her work on the Netflix series "Orange Is the New Black."
-
A.
Nicole D'Ovidio
Nicole D'Ovidio is a screenwriter best known for crafting the story for the 2013 thriller film "The Call."
-
B.
Drea de Matteo
Drea de Matteo is an American actress best known for her Emmy-winning role as Adriana La Cerva on the television series "The Sopranos."
-
C.
Lauren Gurgiolo
Lauren Gurgiolo is an American guitarist and multi-instrumentalist best known for her work in the indie rock scene, including her tenure with the band Okkervil River.
-
D.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
-
E.
Alyssa Mastromonaco
Alyssa Mastromonaco is an American political strategist and former senior Obama administration official known for her work in White House operations and later as a media executive and author.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d922ebc8190ae012da8ceba74dd |
completed | April 20, 2026, 6:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0843ecd72c8190a605ccb8af032795 |
completed | May 16, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_6a0845193350819088523da3087fe421 |
completed | May 16, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0845e241048190ba7fb657d4dca3d7 |
completed | May 16, 2026, 10:24 a.m. |
Created at: April 11, 2026, 11:38 p.m.