Triple
T16912701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary MacLaren |
E410240
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Shoes
"Shoes" is a 1916 silent drama film starring Mary MacLaren that portrays the struggles of a poor young woman forced to make difficult choices to support her family.
|
E1239821
|
NE FINISHED |
How this triple was built (4 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: Shoes | Statement: [Mary MacLaren, notableWork, Shoes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shoes Context triple: [Mary MacLaren, notableWork, Shoes]
-
A.
Scarpe
The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
-
B.
Sneakers
"Sneakers" is a 1992 comedic heist thriller film about a team of security experts who become entangled in espionage over a powerful code-breaking device.
-
C.
Shoe
Shoe is a satirical comic strip created by cartoonist Jeff MacNelly that centers on anthropomorphic bird characters working in a newsroom.
-
D.
Car Shoe
Car Shoe is an Italian luxury footwear brand renowned for its handcrafted driving moccasins and casual shoes, operating under the Prada Group.
-
E.
Socks
Socks is a fictional character, likely an animal companion or pet, featured in the "Dear Socks, Dear Buddy" book.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shoes Triple: [Mary MacLaren, notableWork, Shoes]
Generated description
"Shoes" is a 1916 silent drama film starring Mary MacLaren that portrays the struggles of a poor young woman forced to make difficult choices to support her family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shoes Target entity description: "Shoes" is a 1916 silent drama film starring Mary MacLaren that portrays the struggles of a poor young woman forced to make difficult choices to support her family.
-
A.
Scarpe
The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
-
B.
Sneakers
"Sneakers" is a 1992 comedic heist thriller film about a team of security experts who become entangled in espionage over a powerful code-breaking device.
-
C.
Shoe
Shoe is a satirical comic strip created by cartoonist Jeff MacNelly that centers on anthropomorphic bird characters working in a newsroom.
-
D.
Car Shoe
Car Shoe is an Italian luxury footwear brand renowned for its handcrafted driving moccasins and casual shoes, operating under the Prada Group.
-
E.
Socks
Socks is a fictional character, likely an animal companion or pet, featured in the "Dear Socks, Dear Buddy" book.
- F. None of above. chosen
Provenance (5 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3e6b9481909fbaeb0bddd7e3b2 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7be679c8190b9d0b0b9cfe185d3 |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c9059a2c819099ede5a7b6e25b18 |
completed | May 10, 2026, 6:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c9d1c6a0819083635b8246cc82e7 |
completed | May 10, 2026, 6:09 p.m. |
Created at: April 10, 2026, 5:30 a.m.