Triple
T13481403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Box |
E318380
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Button, Button |
E197019
|
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: Button, Button | Statement: [The Box, basedOn, Button, Button]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Button, Button Context triple: [The Box, basedOn, Button, Button]
-
A.
Button, Button
chosen
"Button, Button" is a suspenseful short story by Richard Matheson that explores moral dilemmas and the consequences of greed through a mysterious offer involving a deadly button.
-
B.
Buttons
"Buttons" is a notable creative work by Sean Garrett, recognized as a key contribution to his career.
-
C.
Button
Button is a common English surname borne by various real and fictional individuals, including the character Benjamin Button.
-
D.
BTN
BTN is the three-letter ISO 3166-1 alpha-3 country code assigned to Bhutan.
-
E.
BTN
BTN is a U.S. sports television network dedicated primarily to broadcasting collegiate athletics and related programming from the Big Ten Conference.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf36c6b08190ba99400600e0b662 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74635145c8190a42199fe4ed8c2a5 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.