Triple
T16514284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heerdegen |
E401141
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Freddie Heerdegen |
E92070
|
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: Freddie Heerdegen | Statement: [Heerdegen, hasNotableBearer, Freddie Heerdegen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freddie Heerdegen Context triple: [Heerdegen, hasNotableBearer, Freddie Heerdegen]
-
A.
Freddie Heerdegen
chosen
Freddie Heerdegen is the son of American actress Christina Ricci and her former husband James Heerdegen.
-
B.
James Heerdegen
James Heerdegen is an American camera technician and dolly grip best known to the public for his former marriage to actress Christina Ricci.
-
C.
Freddie Bauer
Freddie Bauer is a fictional character from the 1984 romantic comedy film "Splash," known as the carefree and humorous brother of the main character, Allen Bauer.
-
D.
Freddie Oversteegen
Freddie Oversteegen was a Dutch resistance fighter during World War II, known for her courageous sabotage and armed actions against Nazi occupiers as a teenager.
-
E.
Paul Frenzeny
Paul Frenzeny was a 19th-century French-born illustrator and artist known for his detailed engravings and book illustrations, particularly in American and British publications.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7a5ff88190984e2f2bc2fd17cc |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006084949081909e8cdfeafa7564de |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.