Triple
T7499359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glass |
E177218
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Luke Ciarrocchi |
E377617
|
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: Luke Ciarrocchi | Statement: [Glass, editedBy, Luke Ciarrocchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luke Ciarrocchi Context triple: [Glass, editedBy, Luke Ciarrocchi]
-
A.
Luke Ciarrocchi
chosen
Luke Ciarrocchi is a film editor known for his work on the movie "The Visit."
-
B.
Josh Sborz
Josh Sborz is an American professional baseball pitcher known for his standout collegiate career at the University of Virginia, where he helped lead the Cavaliers to a national championship.
-
C.
Andrew DeLuca
Andrew DeLuca is a fictional surgical resident and later attending surgeon on the television series Grey’s Anatomy, known for his complex personal struggles and romantic relationships with key characters.
-
D.
Matt Lattanzi
Matt Lattanzi is an American actor and former dancer best known for his roles in 1980s films and for his marriage to singer and actress Olivia Newton-John.
-
E.
Jason DeMarco
Jason DeMarco is an American television producer and programming executive best known for co-creating and shaping Cartoon Network’s Toonami and Adult Swim blocks.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f598dfac8190a123daaac0784aee |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84608021481908ce58a131d75188b |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:44 p.m.