Triple
T21039581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Silva |
E518284
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Henry Silva |
—
|
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: Henry Silva | Statement: [Henry Silva, name, Henry Silva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Silva Context triple: [Henry Silva, name, Henry Silva]
-
A.
Henry Silva
chosen
Henry Silva was an American character actor known for his intense, often villainous roles in films such as "The Manchurian Candidate" and numerous crime and action movies from the 1950s through the 1990s.
-
B.
Lino Ventura
Lino Ventura was an Italian-born French actor renowned for his tough-guy roles in classic crime and drama films of the mid-20th century.
-
C.
Mel Ferrer
Mel Ferrer was an American actor, director, and producer known for his work in classic Hollywood films and his marriage to Audrey Hepburn.
-
D.
Ernest Borgnine
Ernest Borgnine was an American actor known for his gruff but endearing screen presence and an Academy Award–winning performance in the film "Marty."
-
E.
Vincent DeGiorgio
Vincent DeGiorgio is a Canadian music producer, songwriter, and music executive known for his work in pop and dance music internationally.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fceed9148190903adb3b55f65242 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:14 p.m.