Triple
T10364673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Minghella |
E244221
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Minghella |
E246859
|
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: Minghella | Statement: [Max Minghella, familyName, Minghella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minghella Context triple: [Max Minghella, familyName, Minghella]
-
A.
Minghella
chosen
Minghella is the surname of a British family best known for Anthony Minghella, the acclaimed film director and screenwriter behind works such as "The English Patient."
-
B.
Kloves
Kloves is the surname of American screenwriter and film director Steve Kloves, best known for adapting most of the Harry Potter novels for the screen.
-
C.
McLaglen
McLaglen is the surname of a family of actors most notably associated with British-American character actor Victor McLaglen, known for his roles in classic Hollywood films.
-
D.
Taymor
Taymor is the surname of acclaimed American theater and film director Julie Taymor, known for her visually innovative and avant-garde productions.
-
E.
Melvyn
Melvyn is the surname of Sybylla Melvyn, the spirited young protagonist of Miles Franklin’s classic Australian novel "My Brilliant Career."
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e964a53c8190b748e80850e96656 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750c2d2748190b871b928d5a094f8 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, noon