Triple
T13648339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Men and Cartoons |
E326662
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
The Glasses
The Glasses is likely a component or segment of the larger work "Men and Cartoons," possibly a short story or chapter within that collection.
|
E1053820
|
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: The Glasses | Statement: [Men and Cartoons, hasPart, The Glasses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Glasses Context triple: [Men and Cartoons, hasPart, The Glasses]
-
A.
Spectacles
Spectacles are Snap Inc.’s camera-equipped smart glasses designed to capture photos and videos hands-free for sharing on Snapchat.
-
B.
Looking Glass
Looking Glass is a masked vigilante and member of Tulsa's police force in the HBO series "Watchmen," known for his reflective mask and keen interrogative skills.
-
C.
Looking Glass
"Looking Glass" is a song by the American rock band Radio.
-
D.
Looking Glass
Looking Glass was a prominent Nez Perce leader and war chief who played a key strategic role during the Nez Perce War of 1877.
-
E.
Looking Glass
Looking Glass is the callsign for the U.S. Navy’s Boeing E-6 Mercury aircraft that serves as an airborne command post for nuclear command and control operations.
- 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: The Glasses Triple: [Men and Cartoons, hasPart, The Glasses]
Generated description
The Glasses is likely a component or segment of the larger work "Men and Cartoons," possibly a short story or chapter within that collection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Glasses Target entity description: The Glasses is likely a component or segment of the larger work "Men and Cartoons," possibly a short story or chapter within that collection.
-
A.
Spectacles
Spectacles are Snap Inc.’s camera-equipped smart glasses designed to capture photos and videos hands-free for sharing on Snapchat.
-
B.
Looking Glass
Looking Glass is a masked vigilante and member of Tulsa's police force in the HBO series "Watchmen," known for his reflective mask and keen interrogative skills.
-
C.
Looking Glass
"Looking Glass" is a song by the American rock band Radio.
-
D.
Looking Glass
Looking Glass was a prominent Nez Perce leader and war chief who played a key strategic role during the Nez Perce War of 1877.
-
E.
Looking Glass
Looking Glass is the callsign for the U.S. Navy’s Boeing E-6 Mercury aircraft that serves as an airborne command post for nuclear command and control operations.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6073e888190965456a639839749 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78afbf8948190ad38ea7529e52f16 |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78bd52b748190ab483ec7634a6549 |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78d277c5c8190970cb3cd0fd32905 |
completed | May 3, 2026, 6 p.m. |
Created at: April 9, 2026, 9:52 p.m.