Triple
T13119155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Split |
E311677
|
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: [Split, editedBy, Luke Ciarrocchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luke Ciarrocchi Context triple: [Split, editedBy, Luke Ciarrocchi]
-
A.
Luke Ciarrocchi
chosen
Luke Ciarrocchi is a film editor known for his work on the movie "The Visit."
-
B.
Alex Corrado
Alex Corrado is an actor known for his supporting roles in film and television, including a part in the restaurant-centered crime drama "Dinner Rush."
-
C.
Phil Leotardo
Phil Leotardo is a ruthless New York mob boss and major antagonist in the television series "The Sopranos."
-
D.
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.
-
E.
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.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98196e69081909111407ee3d9f08e |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe249a972081909b30302865396eb1 |
completed | May 8, 2026, 5:59 p.m. |
Created at: April 9, 2026, 9:06 p.m.