Triple
T6227751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlan Ellison |
E139276
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Other Glass Teat |
E577452
|
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 Other Glass Teat | Statement: [Harlan Ellison, notableWork, The Other Glass Teat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Other Glass Teat Context triple: [Harlan Ellison, notableWork, The Other Glass Teat]
-
A.
The Glass Teat
chosen
The Glass Teat is a collection of Harlan Ellison’s incisive television criticism columns that sharply examine the cultural and political impact of TV in late-1960s America.
-
B.
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.
-
C.
the Teapot
The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
-
D.
The Glass Egg
The Glass Egg is a distinctive, modern glass-and-steel civic building in London known for its striking, egg-like architectural design.
-
E.
The Tea Caddy
The Tea Caddy is a British-themed retail shop in Epcot’s United Kingdom Pavilion at Walt Disney World, specializing in traditional teas and related goods.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d686b88190a0e7e38ab52e2d4a |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243f042b08190a32bb07acd419b4c |
completed | March 24, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:22 p.m.