Triple
T16441545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melrose Place |
E399312
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Laura Leighton
Laura Leighton is an American actress best known for her role as the scheming Sydney Andrews on the 1990s primetime soap opera "Melrose Place."
|
E1219516
|
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 Leighton | Statement: [Melrose Place, portrayedBy, Laura Leighton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Leighton Context triple: [Melrose Place, portrayedBy, Laura Leighton]
-
A.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
B.
Leah Haywood
Leah Haywood is an Australian singer-songwriter and producer known for both her own pop releases and her songwriting work for major international artists.
-
C.
Laura Dalton
Laura Dalton is the central protagonist of the British sitcom "A Fine Romance," around whose romantic and personal life the series revolves.
-
D.
Emily Woodruff
Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
-
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 Leighton Triple: [Melrose Place, portrayedBy, Laura Leighton]
Generated description
Laura Leighton is an American actress best known for her role as the scheming Sydney Andrews on the 1990s primetime soap opera "Melrose Place."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Leighton Target entity description: Laura Leighton is an American actress best known for her role as the scheming Sydney Andrews on the 1990s primetime soap opera "Melrose Place."
-
A.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
B.
Leah Haywood
Leah Haywood is an Australian singer-songwriter and producer known for both her own pop releases and her songwriting work for major international artists.
-
C.
Laura Dalton
Laura Dalton is the central protagonist of the British sitcom "A Fine Romance," around whose romantic and personal life the series revolves.
-
D.
Emily Woodruff
Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
-
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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba91dc48190bc35db60f63d36d3 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00679d15b08190b4e70e4337bff88d |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a0068a384e0819093c174a46ea5ce10 |
completed | May 10, 2026, 11:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0068fa85448190aef06ff27fe16305 |
completed | May 10, 2026, 11:16 a.m. |
Created at: April 10, 2026, 5:10 a.m.