Triple
T20092812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindsay Sloane |
E496314
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Dar Rollins
Dar Rollins is an American talent agent best known as the husband of actress Lindsay Sloane.
|
E1412265
|
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: Dar Rollins | Statement: [Lindsay Sloane, spouse, Dar Rollins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dar Rollins Context triple: [Lindsay Sloane, spouse, Dar Rollins]
-
A.
Tibby Rollins
Tibby Rollins is a witty, introspective aspiring filmmaker and one of four lifelong friends whose evolving relationships and personal growth are central to the Sisterhood of the Traveling Pants series.
-
B.
Marcine Wolverton
Marcine Wolverton is an American business figure known for co-founding the video game company Midway Games.
-
C.
Rue Bennett
Rue Bennett is the troubled, drug-addicted teenage protagonist of the television series "Euphoria," known for her raw, introspective narration and complex emotional struggles.
-
D.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
E.
Teela Brown
Teela Brown is a genetically lucky human from Larry Niven’s *Ringworld* series, whose engineered good fortune profoundly shapes the events of the story.
- 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: Dar Rollins Triple: [Lindsay Sloane, spouse, Dar Rollins]
Generated description
Dar Rollins is an American talent agent best known as the husband of actress Lindsay Sloane.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dar Rollins Target entity description: Dar Rollins is an American talent agent best known as the husband of actress Lindsay Sloane.
-
A.
Tibby Rollins
Tibby Rollins is a witty, introspective aspiring filmmaker and one of four lifelong friends whose evolving relationships and personal growth are central to the Sisterhood of the Traveling Pants series.
-
B.
Marcine Wolverton
Marcine Wolverton is an American business figure known for co-founding the video game company Midway Games.
-
C.
Rue Bennett
Rue Bennett is the troubled, drug-addicted teenage protagonist of the television series "Euphoria," known for her raw, introspective narration and complex emotional struggles.
-
D.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
E.
Teela Brown
Teela Brown is a genetically lucky human from Larry Niven’s *Ringworld* series, whose engineered good fortune profoundly shapes the events of the story.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66668db8881908c43b1deef9af1d3 |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082707c7908190a3889541ea8a650b |
completed | May 16, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_6a08285238908190b7e6e53792586cc5 |
completed | May 16, 2026, 8:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08290a0574819093eae877eb2e0495 |
completed | May 16, 2026, 8:21 a.m. |
Created at: April 11, 2026, 11:22 p.m.