Triple
T16751098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted McGinley |
E407078
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Gigi Rice
Gigi Rice is an American actress known for her roles in television sitcoms and dramas, including "Delta" and "Do Over."
|
E1312264
|
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: Gigi Rice | Statement: [Ted McGinley, spouse, Gigi Rice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gigi Rice Context triple: [Ted McGinley, spouse, Gigi Rice]
-
A.
Gigi Levangie
Gigi Levangie is an American novelist and screenwriter best known for her sharp, witty portrayals of contemporary relationships and Hollywood life.
-
B.
Rose Gilley
Rose Gilley is the daughter of English actress Emilia Fox.
-
C.
Lindy Robbins
Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
-
D.
Sherry Stringfield
Sherry Stringfield is an American actress best known for her role as Dr. Susan Lewis on the television medical drama "ER."
-
E.
Emmy Brown
Emmy Brown is a character in the 1941 romantic drama film "Hold Back the Dawn," serving as part of the story’s emotional and narrative development.
- 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: Gigi Rice Triple: [Ted McGinley, spouse, Gigi Rice]
Generated description
Gigi Rice is an American actress known for her roles in television sitcoms and dramas, including "Delta" and "Do Over."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gigi Rice Target entity description: Gigi Rice is an American actress known for her roles in television sitcoms and dramas, including "Delta" and "Do Over."
-
A.
Gigi Levangie
Gigi Levangie is an American novelist and screenwriter best known for her sharp, witty portrayals of contemporary relationships and Hollywood life.
-
B.
Rose Gilley
Rose Gilley is the daughter of English actress Emilia Fox.
-
C.
Lindy Robbins
Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
-
D.
Sherry Stringfield
Sherry Stringfield is an American actress best known for her role as Dr. Susan Lewis on the television medical drama "ER."
-
E.
Emmy Brown
Emmy Brown is a character in the 1941 romantic drama film "Hold Back the Dawn," serving as part of the story’s emotional and narrative development.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa271de48190b4a535408aeef734 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039ef5147081908c7cfce314e120b1 |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a039fb57d608190a0310a4e2c83852a |
completed | May 12, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a07a59f88190a7ddd5b612d1575a |
completed | May 12, 2026, 9:49 p.m. |
Created at: April 10, 2026, 5:21 a.m.