Triple
T9833362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaime Lerner |
E239040
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jaime |
E45938
|
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: Jaime | Statement: [Jaime Lerner, givenName, Jaime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaime Context triple: [Jaime Lerner, givenName, Jaime]
-
A.
Jaime
chosen
Jaime is a given name of Spanish origin, commonly used as a form of James.
-
B.
Jaime Lannister
Jaime Lannister is a prominent knight of House Lannister in the Game of Thrones universe, known as the Kingslayer for killing the Mad King and for his complex journey from arrogant warrior to morally conflicted antihero.
-
C.
Joffrey Baratheon
Joffrey Baratheon is a cruel and sadistic young king from the fantasy series "Game of Thrones," notorious for his tyrannical rule and volatile temperament.
-
D.
Don Jaime
Don Jaime is a wealthy, repressed Spanish widower whose obsessive piety and conflicted desire drive much of the psychological and moral tension in Luis Buñuel’s film "Viridiana."
-
E.
Tommen Baratheon
Tommen Baratheon is a young, tragic king of the Seven Kingdoms in the television series "Game of Thrones," known for his gentle nature and manipulation by powerful figures around him.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb336bfc4819084f0d4d6d1867484 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5c448388190818e4cc5e3a42dfc |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:32 p.m.