Triple
T15530869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Ramos |
E370210
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | The Arm |
E1125377
|
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: The Arm | Statement: [Sarah Ramos, directed, The Arm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Arm Context triple: [Sarah Ramos, directed, The Arm]
-
A.
The Arm
chosen
The Arm is a short film best known for featuring actor Miles Heizer in its cast.
-
B.
Armills
Armills are ceremonial arm bracelets traditionally worn by British monarchs during coronations as symbols of sincerity and wisdom.
-
C.
Armur
Armur is a town and municipal center in the Nizamabad district of Telangana, India.
-
D.
Iron Arm
Iron Arm is the nickname of William Iron Arm, a prominent 11th-century Norman adventurer and military leader in southern Italy.
-
E.
Armour
Armour is a Scottish surname most famously associated with Jean Armour, the wife of poet Robert Burns.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414773548190b3311515f9d957dd |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff45549e4881908ab0769e49ba5dc4 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:06 a.m.