Triple
T10739948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Errol Flynn |
E253295
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Rory Flynn |
E253301
|
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: Rory Flynn | Statement: [Errol Flynn, hasChild, Rory Flynn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rory Flynn Context triple: [Errol Flynn, hasChild, Rory Flynn]
-
A.
Rory Flynn
chosen
Rory Flynn is the son of legendary Hollywood swashbuckling actor Errol Flynn.
-
B.
Neil Flynn
Neil Flynn is an American actor and comedian best known for his roles as the Janitor on the sitcom "Scrubs" and as Mike Heck on the sitcom "The Middle."
-
C.
Jimmy Doherty
Jimmy Doherty is a central firefighter character in the television drama series "Third Watch," known for his bravery, personal struggles, and complex relationships with fellow first responders.
-
D.
Dessie Flynn
Dessie Flynn was an American voice actor best known for providing character voices in early Walt Disney animated shorts.
-
E.
Luke Doolan
Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71043106c819091939950f532eda5 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22ed6edc8190beb76bd2971c7cec |
completed | April 14, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:14 p.m.