Triple
T10553783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty Shop |
E249021
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Laura Hayes
Laura Hayes is an American actress and comedian best known for her role in the ensemble cast of the film "Beauty Shop."
|
E910942
|
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: Laura Hayes | Statement: [Beauty Shop, stars, Laura Hayes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Hayes Context triple: [Beauty Shop, stars, Laura Hayes]
-
A.
Laura Hughes
Laura Hughes is known as the sister of American Olympic figure skater Sarah Hughes.
-
B.
Laura Merriman
Laura Merriman is known as the spouse of Dwight Merriman, the co-founder and former CEO of DoubleClick and co-founder of MongoDB.
-
C.
Lisa Baird
Lisa Baird is an American sports executive who served as commissioner of the National Women's Soccer League (NWSL).
-
D.
Mary Cunningham
Mary Cunningham is known as the spouse of Welsh actor Clive Merrison, recognized for his extensive work in British television, film, and radio drama.
-
E.
Laura Harrington
Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
- 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: Laura Hayes Triple: [Beauty Shop, stars, Laura Hayes]
Generated description
Laura Hayes is an American actress and comedian best known for her role in the ensemble cast of the film "Beauty Shop."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Hayes Target entity description: Laura Hayes is an American actress and comedian best known for her role in the ensemble cast of the film "Beauty Shop."
-
A.
Laura Hughes
Laura Hughes is known as the sister of American Olympic figure skater Sarah Hughes.
-
B.
Laura Merriman
Laura Merriman is known as the spouse of Dwight Merriman, the co-founder and former CEO of DoubleClick and co-founder of MongoDB.
-
C.
Lisa Baird
Lisa Baird is an American sports executive who served as commissioner of the National Women's Soccer League (NWSL).
-
D.
Mary Cunningham
Mary Cunningham is known as the spouse of Welsh actor Clive Merrison, recognized for his extensive work in British television, film, and radio drama.
-
E.
Laura Harrington
Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d527118da081909ca61bc555a17609 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4963545f481909ecc360480b1fc37 |
completed | April 19, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_69e49a97db808190aa22d6a103a13e58 |
completed | April 19, 2026, 9:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49d71e81c8190af73931ed30e04be |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 6, 2026, 12:34 p.m.