Triple
T18943177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorenzo Lamas |
E463438
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Shauna Sand
Shauna Sand is an American actress, model, and former Playboy Playmate known for her television appearances and high-profile relationships.
|
E1371713
|
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: Shauna Sand | Statement: [Lorenzo Lamas, spouse, Shauna Sand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shauna Sand Context triple: [Lorenzo Lamas, spouse, Shauna Sand]
-
A.
Shauna Redford
Shauna Redford is an American painter and the daughter of actor and filmmaker Robert Redford.
-
B.
Shauna Cross
Shauna Cross is an American screenwriter and author best known for her novel "Derby Girl" and its film adaptation "Whip It."
-
C.
Shauna Shipman
Shauna Shipman is a central character in the TV series "Yellowjackets," portrayed as a complex survivor whose past trauma and secrets deeply shape the show's present-day storyline.
-
D.
Sara Shane
Sara Shane was an American film and television actress best known for her roles in 1950s Hollywood dramas and adventure films.
-
E.
Shauna Minoprio
Shauna Minoprio is a television producer best known for her executive production work on the reality competition series *The Glee Project*.
- 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: Shauna Sand Triple: [Lorenzo Lamas, spouse, Shauna Sand]
Generated description
Shauna Sand is an American actress, model, and former Playboy Playmate known for her television appearances and high-profile relationships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shauna Sand Target entity description: Shauna Sand is an American actress, model, and former Playboy Playmate known for her television appearances and high-profile relationships.
-
A.
Shauna Redford
Shauna Redford is an American painter and the daughter of actor and filmmaker Robert Redford.
-
B.
Shauna Cross
Shauna Cross is an American screenwriter and author best known for her novel "Derby Girl" and its film adaptation "Whip It."
-
C.
Shauna Shipman
Shauna Shipman is a central character in the TV series "Yellowjackets," portrayed as a complex survivor whose past trauma and secrets deeply shape the show's present-day storyline.
-
D.
Sara Shane
Sara Shane was an American film and television actress best known for her roles in 1950s Hollywood dramas and adventure films.
-
E.
Shauna Minoprio
Shauna Minoprio is a television producer best known for her executive production work on the reality competition series *The Glee Project*.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3ed847c8190a911a61673608a5c |
completed | April 20, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0723f372908190a8cb204e1bbe910c |
completed | May 15, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a07257b21dc81908be073c286c3d3cb |
completed | May 15, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07268dfaf88190ae8f93dbdbccdb5d |
completed | May 15, 2026, 1:58 p.m. |
Created at: April 10, 2026, 11:59 a.m.