Triple
T16611564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crashing |
E403581
|
entity |
| Predicate | star |
P23405
|
FINISHED |
| Object | Damien Molony |
E848440
|
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: Damien Molony | Statement: [Crashing, star, Damien Molony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damien Molony Context triple: [Crashing, star, Damien Molony]
-
A.
Damien Molony
chosen
Damien Molony is an Irish actor known for his work on stage and screen, including prominent roles in television series such as "Being Human" and "Ripper Street."
-
B.
Damien Fahey
Damien Fahey is an American television host, radio DJ, and writer best known for his tenure as a VJ and host on MTV.
-
C.
Damien Moore
Damien Moore is a British Conservative Party politician who has served as the Member of Parliament for Southport.
-
D.
Damien Thomas
Damien Thomas is a British actor known for his work in film and television, including a prominent role in the 1980 miniseries "Shogun."
-
E.
Damien LeVeck
Damien LeVeck is a film editor and director known for his work in genre and independent cinema.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36096356c819092815d64db041793 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d449f708819095f83682fa03e3bf |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:17 a.m.