Triple
T13346898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sybil Seely |
E317975
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Goat |
E652737
|
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 Goat | Statement: [Sybil Seely, notableWork, The Goat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Goat Context triple: [Sybil Seely, notableWork, The Goat]
-
A.
The Goat
chosen
"The Goat" is a 1921 silent comedy short film starring Buster Keaton, known for its inventive gags and Keaton’s deadpan physical comedy.
-
B.
The Sick Goat
"The Sick Goat" is a 17th-century pastoral genre painting by Dutch Golden Age artist Karel Dujardin, known for its detailed depiction of animals and rural life.
-
C.
Las Ovejas
Las Ovejas is a small town in Argentina’s Neuquén Province, known as a gateway to the scenic Andean landscapes and nearby volcanic and thermal attractions.
-
D.
The Cow
The Cow is a landmark 1969 Iranian drama film directed by Dariush Mehrjui that is widely credited with helping launch the Iranian New Wave.
-
E.
The Cow
The Cow is the English title of Surah Al-Baqarah, the Quran’s longest chapter, which covers core themes of faith, law, guidance, and the relationship between God and humanity.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e89c65c819093f3bea11d6073c5 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f439b3c8190b35fd4d097d65068 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.