Triple
T718451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rami Malek |
E14361
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Los Angeles |
E715
|
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: Los Angeles | Statement: [Rami Malek, placeOfBirth, Los Angeles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Angeles Context triple: [Rami Malek, placeOfBirth, Los Angeles]
-
A.
Los Angeles
chosen
Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
-
B.
Santa Monica
Santa Monica is a coastal city in western Los Angeles County, California, known for its iconic pier, beaches, and vibrant tourism and entertainment scene.
-
C.
Long Beach
Long Beach is a coastal city in Southern California known for its busy port, waterfront attractions, and diverse urban community within the Los Angeles metropolitan area.
-
D.
East Los Angeles
East Los Angeles is an unincorporated, predominantly Latino community in Los Angeles County known for its rich Chicano culture, historic role in civil rights movements, and vibrant neighborhoods east of downtown Los Angeles.
-
E.
LA
LA is the official two-letter U.S. Postal Service abbreviation for the state of Louisiana.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58d4c3c8190ad4527d14bca5e6e |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5a101108190897a066413a3b6a1 |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 1, 2026, 7:37 p.m.