Triple
T20258199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali MacGraw |
E498758
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Robin Hoen
Robin Hoen is an American investment banker best known as the first husband of actress Ali MacGraw.
|
E1420555
|
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: Robin Hoen | Statement: [Ali MacGraw, spouse, Robin Hoen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin Hoen Context triple: [Ali MacGraw, spouse, Robin Hoen]
-
A.
Ian Gelder
Ian Gelder is a British actor best known for his work in television, film, and theatre, including roles in high-profile series such as Game of Thrones.
-
B.
Mark VanHaren
Mark VanHaren is an entrepreneur best known as the founder of the company Architext.
-
C.
Mark VanHaren
Mark VanHaren is an entrepreneur best known as a founder of the early internet portal and search company Excite.
-
D.
Eric Marienthal
Eric Marienthal is an American contemporary jazz saxophonist known for his work in jazz fusion and smooth jazz, including prominent collaborations with leading artists and bands.
-
E.
David Oelhoffen
David Oelhoffen is a French film director and screenwriter known for his character-driven dramas and literary adaptations.
- 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: Robin Hoen Triple: [Ali MacGraw, spouse, Robin Hoen]
Generated description
Robin Hoen is an American investment banker best known as the first husband of actress Ali MacGraw.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robin Hoen Target entity description: Robin Hoen is an American investment banker best known as the first husband of actress Ali MacGraw.
-
A.
Ian Gelder
Ian Gelder is a British actor best known for his work in television, film, and theatre, including roles in high-profile series such as Game of Thrones.
-
B.
Mark VanHaren
Mark VanHaren is an entrepreneur best known as the founder of the company Architext.
-
C.
Mark VanHaren
Mark VanHaren is an entrepreneur best known as a founder of the early internet portal and search company Excite.
-
D.
Eric Marienthal
Eric Marienthal is an American contemporary jazz saxophonist known for his work in jazz fusion and smooth jazz, including prominent collaborations with leading artists and bands.
-
E.
David Oelhoffen
David Oelhoffen is a French film director and screenwriter known for his character-driven dramas and literary adaptations.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674c7296c819092860942de8f28d5 |
completed | April 20, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08552c65488190922fc54374072e69 |
completed | May 16, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_6a0855d7d87481908ff14d53a2ac94f7 |
completed | May 16, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0856e66c808190b5ef994f1cbc5f3e |
completed | May 16, 2026, 11:37 a.m. |
Created at: April 11, 2026, 11:41 p.m.