Triple
T8650145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giannina Facio |
E205077
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Counselor |
E328548
|
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: The Counselor | Statement: [Giannina Facio, notableWork, The Counselor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Counselor Context triple: [Giannina Facio, notableWork, The Counselor]
-
A.
The Counselor
chosen
The Counselor is a 2013 crime thriller film directed by Ridley Scott and written by Cormac McCarthy, following a lawyer who becomes entangled in a dangerous drug-trafficking scheme.
-
B.
A Foreign Affair
A Foreign Affair is a 1948 romantic comedy film directed by Billy Wilder, best known for featuring Marlene Dietrich as a glamorous cabaret singer in postwar Berlin.
-
C.
Mr. Secretary
"Mr. Secretary" is the traditional formal style of address used for the United States Secretary of the Treasury.
-
D.
Mr. Secretary
"Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Health and Human Services.
-
E.
Mr. Secretary
Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4813d0548190b203e594acc38c8f |
completed | March 31, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccc166548190a1dd706041e4bfa2 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:29 p.m.