Triple
T15063853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Steel |
E379704
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Philip Bosco |
E821509
|
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: Philip Bosco | Statement: [Blue Steel, starring, Philip Bosco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Bosco Context triple: [Blue Steel, starring, Philip Bosco]
-
A.
Philip Bosco
chosen
Philip Bosco was an American character actor known for his distinguished stage career on Broadway and supporting roles in numerous films and television shows.
-
B.
Henri Bosco
Henri Bosco was a 20th-century French novelist and poet known for his evocative, mystical depictions of rural Provence and its landscapes.
-
C.
Peter Faber
Peter Faber was a 16th-century French priest and theologian who, alongside Ignatius of Loyola and Francis Xavier, was one of the original founders of the Jesuit order.
-
D.
Louis Borno
Louis Borno was a Haitian politician and lawyer who served as President of Haiti in the early 20th century, overseeing a period marked by U.S. occupation and significant political centralization.
-
E.
Jules Ostin
Jules Ostin is the driven, overworked founder and CEO of an online fashion startup portrayed by Anne Hathaway in the film "The Intern."
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee803ac81908bb7d66e49c2eb72 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c8b3ac8190b8fc921b6e6eeed5 |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 10, 2026, 3:02 a.m.