Triple
T12553325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Nickson |
E300148
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Nickson
Nickson is a surname most notably associated with Singaporean-American actress Julia Nickson, known for her roles in films such as "Rambo: First Blood Part II."
|
E990457
|
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: Nickson | Statement: [Julia Nickson, familyName, Nickson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nickson Context triple: [Julia Nickson, familyName, Nickson]
-
A.
Nik
Nik is one of the three futuristic, anime-style "Spheriks" characters that served as official mascots for the 2002 FIFA World Cup in South Korea and Japan.
-
B.
Neilson
Neilson is a surname of Scottish and Irish origin, traditionally meaning "son of Neil."
-
C.
Neil
Neil is the given name of Neil deGrasse Tyson, a prominent American astrophysicist, author, and science communicator.
-
D.
Neil
Neil is a character in Helen Fielding’s novel "Cause Celeb," which satirically explores celebrity culture and humanitarian aid.
-
E.
Neil
Neil is a central character in Mary Higgins Clark's suspense novel "A Stranger Is Watching," around whom much of the kidnapping and tension-filled plot revolves.
- 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: Nickson Triple: [Julia Nickson, familyName, Nickson]
Generated description
Nickson is a surname most notably associated with Singaporean-American actress Julia Nickson, known for her roles in films such as "Rambo: First Blood Part II."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nickson Target entity description: Nickson is a surname most notably associated with Singaporean-American actress Julia Nickson, known for her roles in films such as "Rambo: First Blood Part II."
-
A.
Nik
Nik is one of the three futuristic, anime-style "Spheriks" characters that served as official mascots for the 2002 FIFA World Cup in South Korea and Japan.
-
B.
Neilson
Neilson is a surname of Scottish and Irish origin, traditionally meaning "son of Neil."
-
C.
Neil
Neil is the given name of Neil deGrasse Tyson, a prominent American astrophysicist, author, and science communicator.
-
D.
Neil
Neil is a character in Helen Fielding’s novel "Cause Celeb," which satirically explores celebrity culture and humanitarian aid.
-
E.
Neil
Neil is a central character in Mary Higgins Clark's suspense novel "A Stranger Is Watching," around whom much of the kidnapping and tension-filled plot revolves.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9548444d081908f00cea1ce7032c7 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65587524881908c933490bface976 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f656f812bc8190a2a691285fc30e03 |
completed | May 2, 2026, 7:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657ea0c6c8190992a0101904e92f2 |
completed | May 2, 2026, 8 p.m. |
Created at: April 8, 2026, 9:58 p.m.