Triple
T15909148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damian Leigh |
E385800
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Daniel Franzese |
E385803
|
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: Daniel Franzese | Statement: [Damian Leigh, portrayedBy, Daniel Franzese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Franzese Context triple: [Damian Leigh, portrayedBy, Daniel Franzese]
-
A.
Daniel Franzese
chosen
Daniel Franzese is an American actor and comedian best known for his breakout role as Damian in the teen comedy film "Mean Girls."
-
B.
Nicholas Colasanto
Nicholas Colasanto was an American actor and television director best known for playing Coach Ernie Pantusso on the sitcom "Cheers."
-
C.
Carlo Mastrangelo
Carlo Mastrangelo was an American singer and musician best known as a founding member of the influential 1950s–60s doo-wop and rock and roll group Dion and the Belmonts.
-
D.
Tony Gallucci
Tony Gallucci was the third husband of Hungarian-American socialite and actress Magda Gabor.
-
E.
Christopher Petrosino
Christopher Petrosino is a writer associated with the work "Starving."
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565d2f048190a40379ceae00411a |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.