Triple
T12667714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Niccol |
E302599
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Rachel Roberts
Rachel Roberts is a Canadian model and actress known for her work in fashion campaigns and films such as "Simone" and "Entourage."
|
E997150
|
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: Rachel Roberts | Statement: [Andrew Niccol, spouse, Rachel Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Roberts Context triple: [Andrew Niccol, spouse, Rachel Roberts]
-
A.
Rachel Roberts
Rachel Roberts was a Welsh actress known for her intense, emotionally powerful performances in British and international films during the mid-20th century.
-
B.
Laura Roberts
Laura Roberts is known primarily as the wife of American television and film composer Earle Hagen.
-
C.
Kelly Roberts
Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
-
D.
Linda Steele
Linda Steele is known as the wife of British speculative fiction author Michael Moorcock.
-
E.
Rosemary Woodruff
Rosemary Woodruff was an American counterculture figure and activist best known for her involvement in the 1960s psychedelic movement alongside Timothy Leary.
- 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: Rachel Roberts Triple: [Andrew Niccol, spouse, Rachel Roberts]
Generated description
Rachel Roberts is a Canadian model and actress known for her work in fashion campaigns and films such as "Simone" and "Entourage."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rachel Roberts Target entity description: Rachel Roberts is a Canadian model and actress known for her work in fashion campaigns and films such as "Simone" and "Entourage."
-
A.
Rachel Roberts
Rachel Roberts was a Welsh actress known for her intense, emotionally powerful performances in British and international films during the mid-20th century.
-
B.
Laura Roberts
Laura Roberts is known primarily as the wife of American television and film composer Earle Hagen.
-
C.
Kelly Roberts
Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
-
D.
Linda Steele
Linda Steele is known as the wife of British speculative fiction author Michael Moorcock.
-
E.
Rosemary Woodruff
Rosemary Woodruff was an American counterculture figure and activist best known for her involvement in the 1960s psychedelic movement alongside Timothy Leary.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96181c40481908f3e2717f5472b85 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719de0908190bbc9a98e67e5b6eb |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67285019c8190be831d3f72cf121f |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67323a724819092425cdb3a070b96 |
completed | May 2, 2026, 9:56 p.m. |
Created at: April 9, 2026, 5:20 p.m.