Triple
T4371402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathan Ford |
E98904
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Sam Ford
Sam Ford is the son of Nathan Ford, the central mastermind character from the television series "Leverage."
|
E436287
|
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: Sam Ford | Statement: [Nathan Ford, child, Sam Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Ford Context triple: [Nathan Ford, child, Sam Ford]
-
A.
Fred Ford
Fred Ford is a video game designer and programmer best known as the co-creator of the Star Control series and co-founder of the game development studio Toys for Bob.
-
B.
Daniel Ford
Daniel Ford was a 19th-century American editor and publisher best known for shaping the influential family magazine The Youth's Companion.
-
C.
James Sawyer Ford
James "Sawyer" Ford is a central character on the television series "Lost," known as a complex, sharp-tongued con man with a troubled past and evolving moral compass.
-
D.
Bob Ford
Bob Ford was the outlaw and gang member historically known for killing the infamous American bandit Jesse James.
-
E.
Michael Gerald Ford
Michael Gerald Ford is the eldest son of former U.S. President Gerald Ford and First Lady Betty Ford, known for his low-profile public life and work in banking and nonprofit organizations.
- 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: Sam Ford Triple: [Nathan Ford, child, Sam Ford]
Generated description
Sam Ford is the son of Nathan Ford, the central mastermind character from the television series "Leverage."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Ford Target entity description: Sam Ford is the son of Nathan Ford, the central mastermind character from the television series "Leverage."
-
A.
Fred Ford
Fred Ford is a video game designer and programmer best known as the co-creator of the Star Control series and co-founder of the game development studio Toys for Bob.
-
B.
Daniel Ford
Daniel Ford was a 19th-century American editor and publisher best known for shaping the influential family magazine The Youth's Companion.
-
C.
James Sawyer Ford
James "Sawyer" Ford is a central character on the television series "Lost," known as a complex, sharp-tongued con man with a troubled past and evolving moral compass.
-
D.
Bob Ford
Bob Ford was the outlaw and gang member historically known for killing the infamous American bandit Jesse James.
-
E.
Michael Gerald Ford
Michael Gerald Ford is the eldest son of former U.S. President Gerald Ford and First Lady Betty Ford, known for his low-profile public life and work in banking and nonprofit organizations.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3521dffbc8190b9300a7f4f64bdc0 |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e50bcc9481909b0b9d60198dce63 |
completed | March 14, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69b5eeadd68881909820a75aaff9d8d5 |
completed | March 14, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5ef36f2bc8190a21e0f2fadbdd697 |
completed | March 14, 2026, 11:28 p.m. |
Created at: March 12, 2026, 11:17 p.m.