Triple
T9789923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homefront |
E237580
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Frank Grillo |
E234639
|
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: Frank Grillo | Statement: [Homefront, starring, Frank Grillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Grillo Context triple: [Homefront, starring, Frank Grillo]
-
A.
Frank Grillo
chosen
Frank Grillo is an American actor best known for his tough, action-oriented roles in films such as the Purge series and the Marvel Cinematic Universe.
-
B.
Wesley Pentz
Wesley Pentz, better known as Diplo, is an American DJ, record producer, and songwriter recognized for his influential work in electronic and pop music.
-
C.
Tobin Bell
Tobin Bell is an American actor best known for portraying the serial killer John Kramer, also known as Jigsaw, in the "Saw" horror film franchise.
-
D.
William Fichtner
William Fichtner is an American character actor known for his intense, often villainous or morally complex roles in films such as "Heat," "Armageddon," and "Black Hawk Down," as well as the TV series "Prison Break."
-
E.
Ed Skrein
Ed Skrein is a British actor and rapper best known for roles in films such as "Deadpool," "The Transporter Refueled," and "Alita: Battle Angel."
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda214875481909f39e1d4dbac1fdb |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc4e30bc81909b1dce4a0cc69991 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:28 p.m.