Triple
T4939155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren Beatty |
E110885
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Beatty |
E125974
|
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: Beatty | Statement: [Warren Beatty, familyName, Beatty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beatty Context triple: [Warren Beatty, familyName, Beatty]
-
A.
Beatty
chosen
Beatty is a surname most famously associated with American actor, director, and producer Warren Beatty.
-
B.
Montillus Murray Beatty
Montillus Murray Beatty was an early settler and prospector in Nevada after whom the town of Beatty was named.
-
C.
Captain Beatty
Captain Beatty is the complex, antagonistic fire chief in Ray Bradbury’s dystopian novel "Fahrenheit 451," known for his intellectual cynicism and defense of book burning.
-
D.
Galt
Galt is a small city in Sacramento County, California, known for its residential communities and proximity to the Sacramento metropolitan area.
-
E.
Mr. Appopolous
Mr. Appopolous is a supporting character in the musical "Wonderful Town," typically portrayed as a colorful New York City landlord or shopkeeper who interacts with the main protagonists.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7088f6e48190bf09e58ab053a4d1 |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77bf1f0481909cd007c78096f7c5 |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:31 p.m.