Triple
T8509354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Advance of the Broken Arm |
E201412
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object | Bottle Rack |
E201411
|
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: Bottle Rack | Statement: [In Advance of the Broken Arm, relatedWork, Bottle Rack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bottle Rack Context triple: [In Advance of the Broken Arm, relatedWork, Bottle Rack]
-
A.
Bottle Rack
chosen
Bottle Rack is a pioneering readymade sculpture by Marcel Duchamp that helped redefine the boundaries of art by presenting an ordinary mass-produced object as an artwork.
-
B.
Bottle
Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
-
C.
Abt rack system
The Abt rack system is a railway rack-and-pinion mechanism that uses multiple toothed rack bars and pinions to enable trains to safely operate on steep gradients.
-
D.
Jug
"Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
-
E.
Bottle Works
Bottle Works is an interactive exhibit at the World of Coca-Cola that showcases the bottling process and production of Coca-Cola beverages.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5e0cb1881909d1ff6ee9b3a65cc |
completed | March 31, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e3faa0c81908533e9097ed29b26 |
completed | April 2, 2026, 11:08 a.m. |
Created at: March 30, 2026, 6:15 p.m.