Triple
T4386142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Ford |
E99246
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Jack Ford |
E99246
|
NE FINISHED |
How this triple was built (2 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: Jack Ford | Statement: [John Ford, hasNickname, Jack Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Ford Context triple: [John Ford, hasNickname, Jack Ford]
-
A.
Jack Ford
chosen
Jack Ford is the nickname of John Ford, the legendary American film director renowned for his influential Westerns and multiple Academy Awards.
-
B.
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.
-
C.
Bob Ford
Bob Ford was the outlaw and gang member historically known for killing the infamous American bandit Jesse James.
-
D.
Sam Ford
Sam Ford is the son of Nathan Ford, the central mastermind character from the television series "Leverage."
-
E.
John Gardner Ford
John Gardner Ford is the son of former U.S. President Gerald Ford and First Lady Betty Ford, known as a member of the Ford family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352669f608190b3aa7030d8073e04 |
completed | March 12, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5e74ba481908876629c811d934f |
completed | March 14, 2026, 11:57 p.m. |
Created at: March 12, 2026, 11:19 p.m.