Triple
T15440710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Langella |
E369891
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Langella |
E369891
|
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: Langella | Statement: [Frank Langella, hasSurname, Langella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langella Context triple: [Frank Langella, hasSurname, Langella]
-
A.
Langella
chosen
Langella is an Italian-origin surname most notably borne by acclaimed American actor Frank Langella.
-
B.
Lazzara
Lazzara is the birth surname of acclaimed American actress and singer Bernadette Peters.
-
C.
Sciorra
Sciorra is the surname of Annabella Sciorra, an American actress known for her roles in films like "Jungle Fever" and the television series "The Sopranos."
-
D.
Landa
Landa is a writing system historically used in parts of the Indian subcontinent, particularly in the Punjab region, for commercial and administrative purposes.
-
E.
Casarosa
Casarosa is an Italian surname most notably associated with Enrico Casarosa, the animator and director known for his work at Pixar.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eddf258819082679970b7d2b6af |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a9b9188190a3f5de3ee18c5d3e |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.