Triple
T3331700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thandiwe Newton |
E70046
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Melanie
Melanie is the given first name of British actress Thandiwe Newton, who was previously credited professionally as Thandie Newton.
|
E348014
|
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: Melanie | Statement: [Thandiwe Newton, givenName, Melanie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melanie Context triple: [Thandiwe Newton, givenName, Melanie]
-
A.
Joanne
Joanne is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
-
B.
Melanie Ralston
Melanie Ralston is a laid-back, manipulative surfer girl and stoner who becomes entangled in the criminal schemes surrounding Ordell Robbie in Quentin Tarantino’s film "Jackie Brown."
-
C.
Melanie Mayron
Melanie Mayron is an American actress and director best known for her Emmy-winning role on the television series "thirtysomething" and her work behind the camera on numerous TV shows.
-
D.
Denise Ream
Denise Ream is a film producer known for her work on major animated features, including Pixar's "Elemental."
-
E.
Nina Warren
Nina Warren was the wife of U.S. Chief Justice and former California Governor Earl Warren and a prominent political hostess and partner in his public life.
- 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: Melanie Triple: [Thandiwe Newton, givenName, Melanie]
Generated description
Melanie is the given first name of British actress Thandiwe Newton, who was previously credited professionally as Thandie Newton.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melanie Target entity description: Melanie is the given first name of British actress Thandiwe Newton, who was previously credited professionally as Thandie Newton.
-
A.
Joanne
Joanne is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
-
B.
Melanie Ralston
Melanie Ralston is a laid-back, manipulative surfer girl and stoner who becomes entangled in the criminal schemes surrounding Ordell Robbie in Quentin Tarantino’s film "Jackie Brown."
-
C.
Melanie Mayron
Melanie Mayron is an American actress and director best known for her Emmy-winning role on the television series "thirtysomething" and her work behind the camera on numerous TV shows.
-
D.
Denise Ream
Denise Ream is a film producer known for her work on major animated features, including Pixar's "Elemental."
-
E.
Nina Warren
Nina Warren was the wife of U.S. Chief Justice and former California Governor Earl Warren and a prominent political hostess and partner in his public life.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb19358e48190a503af01b92273a4 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a841c608190942e040c14f560d2 |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c37f3a08190823c32e8f933ce82 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31caa4e188190b4dfd613fdaebdb6 |
completed | March 12, 2026, 8:06 p.m. |
Created at: March 8, 2026, 3:12 p.m.