Triple
T12769896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Fox |
E305217
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Nelson Fox
Nelson Fox is a character in the film "You've Got Mail," known as the father of Joe Fox and a member of the wealthy Fox family that owns a large bookstore chain.
|
E1003309
|
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: Nelson Fox | Statement: [Joe Fox, hasRelative, Nelson Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nelson Fox Context triple: [Joe Fox, hasRelative, Nelson Fox]
-
A.
Ralph Fox
Ralph Fox was an influential American mathematician known for his foundational contributions to knot theory and low-dimensional topology.
-
B.
Luther Fox
Luther Fox is a fictional character from the 2001 drama film "The Man from Elysian Fields," which explores themes of morality, relationships, and personal redemption.
-
C.
Carl Fox
Carl Fox is a principled, blue-collar union leader and the morally grounded father of Bud Fox in the film "Wall Street."
-
D.
Robert Fox
Robert Fox is a British film and theatre producer known for his work on acclaimed stage and screen productions.
-
E.
Robert Fox
Robert Fox is an American architect known for his innovative, sustainable high-rise designs and co-founding the prominent firm Fox & Fowle Architects.
- 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: Nelson Fox Triple: [Joe Fox, hasRelative, Nelson Fox]
Generated description
Nelson Fox is a character in the film "You've Got Mail," known as the father of Joe Fox and a member of the wealthy Fox family that owns a large bookstore chain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nelson Fox Target entity description: Nelson Fox is a character in the film "You've Got Mail," known as the father of Joe Fox and a member of the wealthy Fox family that owns a large bookstore chain.
-
A.
Ralph Fox
Ralph Fox was an influential American mathematician known for his foundational contributions to knot theory and low-dimensional topology.
-
B.
Luther Fox
Luther Fox is a fictional character from the 2001 drama film "The Man from Elysian Fields," which explores themes of morality, relationships, and personal redemption.
-
C.
Carl Fox
Carl Fox is a principled, blue-collar union leader and the morally grounded father of Bud Fox in the film "Wall Street."
-
D.
Robert Fox
Robert Fox is a British film and theatre producer known for his work on acclaimed stage and screen productions.
-
E.
Robert Fox
Robert Fox is an American architect known for his innovative, sustainable high-rise designs and co-founding the prominent firm Fox & Fowle Architects.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f9ba848190b680d730b6a3b972 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f685dc63f48190bb68f9859e99e3b4 |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68a92226881909600555332c2c370 |
completed | May 2, 2026, 11:36 p.m. |
Created at: April 9, 2026, 5:28 p.m.