Triple
T18943154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorenzo Lamas |
E463438
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lorenzo Lamas |
—
|
NE NERFINISHED |
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: Lorenzo Lamas | Statement: [Lorenzo Lamas, name, Lorenzo Lamas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorenzo Lamas Context triple: [Lorenzo Lamas, name, Lorenzo Lamas]
-
A.
Lorenzo Lamas
chosen
Lorenzo Lamas is an American actor best known for his roles in the TV series "Falcon Crest" and "Renegade."
-
B.
Lorin Latarro
Lorin Latarro is an American choreographer and director known for her work on numerous Broadway productions, including the hit musical "Waitress."
-
C.
Joel Harlow
Joel Harlow is an Academy Award-winning American makeup artist and special effects designer known for his work on films such as "Star Trek" and "Pirates of the Caribbean."
-
D.
Alan Ladd Jr.
Alan Ladd Jr. was an influential American film producer and studio executive best known for championing and greenlighting landmark movies such as Star Wars during his tenure at 20th Century Fox.
-
E.
Jose Pablo Cantillo
Jose Pablo Cantillo is an American actor best known for his supporting roles in action films and television series such as "Crank" and "The Walking Dead."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3ed847c8190a911a61673608a5c |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.