Triple
T14640261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fools Rush In |
E343702
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Alex Whitman
Alex Whitman is the straight-laced New York City businessman whose impulsive romance and culture-clashing marriage drive the plot of the romantic comedy film "Fools Rush In."
|
E1306242
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Whitman Context triple: [Fools Rush In, mainCharacter, Alex Whitman]
-
A.
Robert Sproull
Robert Sproull is an American computer scientist and technology executive best known for his leadership role at Sun Microsystems and his contributions to computer graphics and systems research.
-
B.
Sean Dorrance Kelly
Sean Dorrance Kelly is an American philosopher known for his work in phenomenology, philosophy of mind, and the interpretation of existentialist thinkers, and for co-authoring the book "All Things Shining" with Hubert Dreyfus.
-
C.
Andreas Whittam Smith
Andreas Whittam Smith is a British journalist and newspaper editor best known as the founding editor of the UK national newspaper The Independent.
-
D.
Philip Sanger
Philip Sanger is a notable member of the Sanger family, recognized for his prominence within this historically significant lineage.
-
E.
Charles Hoffman
Charles Hoffman is a relatively obscure individual whose specific notability is not clearly identifiable from the given information alone.
- 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: Alex Whitman Triple: [Fools Rush In, mainCharacter, Alex Whitman]
Generated description
Alex Whitman is the straight-laced New York City businessman whose impulsive romance and culture-clashing marriage drive the plot of the romantic comedy film "Fools Rush In."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alex Whitman Target entity description: Alex Whitman is the straight-laced New York City businessman whose impulsive romance and culture-clashing marriage drive the plot of the romantic comedy film "Fools Rush In."
-
A.
Robert Sproull
Robert Sproull is an American computer scientist and technology executive best known for his leadership role at Sun Microsystems and his contributions to computer graphics and systems research.
-
B.
Sean Dorrance Kelly
Sean Dorrance Kelly is an American philosopher known for his work in phenomenology, philosophy of mind, and the interpretation of existentialist thinkers, and for co-authoring the book "All Things Shining" with Hubert Dreyfus.
-
C.
Andreas Whittam Smith
Andreas Whittam Smith is a British journalist and newspaper editor best known as the founding editor of the UK national newspaper The Independent.
-
D.
Philip Sanger
Philip Sanger is a notable member of the Sanger family, recognized for his prominence within this historically significant lineage.
-
E.
Charles Hoffman
Charles Hoffman is a relatively obscure individual whose specific notability is not clearly identifiable from the given information alone.
- F. None of above. chosen
Provenance (4 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c1ca5408190ba46c0ce5515062a |
completed | May 12, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_6a037ca6f5888190b0ed34777aae862f |
completed | May 12, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037d319be48190b01a1b8d1f239078 |
completed | May 12, 2026, 7:19 p.m. |
Created at: April 10, 2026, 1:26 a.m.