Triple
T14094174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodman |
E339208
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Len Goodman |
E353901
|
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: Len Goodman | Statement: [Goodman, hasNotableBearer, Len Goodman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Len Goodman Context triple: [Goodman, hasNotableBearer, Len Goodman]
-
A.
Len Goodman
chosen
Len Goodman was a British professional ballroom dancer and television personality best known as a long-serving head judge on popular dance competition shows.
-
B.
Jerry Goodman
Jerry Goodman is an American violinist best known for his pioneering electric violin work in jazz-rock and progressive rock, including his influential role in the Mahavishnu Orchestra.
-
C.
Ted Allen
Ted Allen is an American food and wine expert and television personality best known as the longtime host of the competitive cooking show "Chopped."
-
D.
Henny Youngman
Henny Youngman was a British-American comedian and violinist famed for his rapid-fire one-liners and the catchphrase "Take my wife—please."
-
E.
Buddy Hackett
Buddy Hackett was an American comedian and actor known for his distinctive voice, rubber-faced expressions, and roles in films like "The Music Man" and "It's a Mad, Mad, Mad, Mad World."
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb7fb3c819083266dbe7e93aaff |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0aa2fbc8190b86fea2306363f1b |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.