Triple
T16441535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melrose Place |
E399312
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Amanda Woodward
Amanda Woodward is a powerful, manipulative advertising executive and one of the central, iconic characters on the 1990s TV drama "Melrose Place."
|
E1378808
|
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: Amanda Woodward | Statement: [Melrose Place, mainCharacter, Amanda Woodward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Woodward Context triple: [Melrose Place, mainCharacter, Amanda Woodward]
-
A.
Amanda Woods
Amanda Woods is a successful but emotionally guarded Los Angeles movie trailer producer who swaps homes with a British woman over Christmas in the romantic comedy film "The Holiday."
-
B.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
-
C.
Amanda Bowers
Amanda Bowers is a film producer known for her work on the movie "Like Father."
-
D.
Amanda Warren
Amanda Warren is an American actress known for her prominent roles in television dramas, including a leading role in the TV adaptation of "The Purge."
-
E.
Amanda Findley
Amanda Findley is an Australian local government leader who serves as the mayor of the City of Shoalhaven in New South Wales.
- 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: Amanda Woodward Triple: [Melrose Place, mainCharacter, Amanda Woodward]
Generated description
Amanda Woodward is a powerful, manipulative advertising executive and one of the central, iconic characters on the 1990s TV drama "Melrose Place."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amanda Woodward Target entity description: Amanda Woodward is a powerful, manipulative advertising executive and one of the central, iconic characters on the 1990s TV drama "Melrose Place."
-
A.
Amanda Woods
Amanda Woods is a successful but emotionally guarded Los Angeles movie trailer producer who swaps homes with a British woman over Christmas in the romantic comedy film "The Holiday."
-
B.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
-
C.
Amanda Bowers
Amanda Bowers is a film producer known for her work on the movie "Like Father."
-
D.
Amanda Warren
Amanda Warren is an American actress known for her prominent roles in television dramas, including a leading role in the TV adaptation of "The Purge."
-
E.
Amanda Findley
Amanda Findley is an Australian local government leader who serves as the mayor of the City of Shoalhaven in New South Wales.
- 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_6a0740360dc48190bbac4ae6b5cecabb |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a0740ff37fc81908e68db633223fb9c |
completed | May 15, 2026, 3:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07424880e08190a582da18e3a6af19 |
completed | May 15, 2026, 3:56 p.m. |
Created at: April 10, 2026, 5:10 a.m.