Triple
T4687772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Fires Everywhere |
E103961
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Lexi Underwood
Lexi Underwood is an American actress best known for her breakout role in the television miniseries "Little Fires Everywhere."
|
E464537
|
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: Lexi Underwood | Statement: [Little Fires Everywhere, stars, Lexi Underwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lexi Underwood Context triple: [Little Fires Everywhere, stars, Lexi Underwood]
-
A.
Lexi Feely
Lexi Feely is known as the daughter of former NFL placekicker and sports commentator Jay Feely.
-
B.
Lacey Pemberton
Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
-
C.
Carley Knox
Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
-
D.
Lexi Medrano
Lexi Medrano is an American actress best known for voicing Claire Nuñez in the animated series "Trollhunters: Tales of Arcadia."
-
E.
Hayley McFarland
Hayley McFarland is an American actress best known for her roles in horror and drama projects, including a supporting role in the film "The Conjuring" and appearances on television series such as "Lie to Me."
- 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: Lexi Underwood Triple: [Little Fires Everywhere, stars, Lexi Underwood]
Generated description
Lexi Underwood is an American actress best known for her breakout role in the television miniseries "Little Fires Everywhere."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lexi Underwood Target entity description: Lexi Underwood is an American actress best known for her breakout role in the television miniseries "Little Fires Everywhere."
-
A.
Lexi Feely
Lexi Feely is known as the daughter of former NFL placekicker and sports commentator Jay Feely.
-
B.
Lacey Pemberton
Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
-
C.
Carley Knox
Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
-
D.
Lexi Medrano
Lexi Medrano is an American actress best known for voicing Claire Nuñez in the animated series "Trollhunters: Tales of Arcadia."
-
E.
Hayley McFarland
Hayley McFarland is an American actress best known for her roles in horror and drama projects, including a supporting role in the film "The Conjuring" and appearances on television series such as "Lie to Me."
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6397f6888190a9024a51d4d34f2b |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be105a709c819083504fe1dc1612d8 |
completed | March 21, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69be1278af588190832bcb037d18aa8f |
completed | March 21, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be12d51db08190aca8c36972ea6e4e |
completed | March 21, 2026, 3:39 a.m. |
Created at: March 20, 2026, 1:16 p.m.