Triple
T17569507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babel |
E427897
|
entity |
| Predicate | usedWith |
P4791
|
FINISHED |
| Object | Gulp |
—
|
NE NERFINISHED |
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: Gulp | Statement: [Babel, usedWith, Gulp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gulp Context triple: [Babel, usedWith, Gulp]
-
A.
Gulp
chosen
Gulp is a JavaScript-based task runner and build system commonly used to automate front-end development workflows such as compiling, bundling, and optimizing assets.
-
B.
Gulp
Gulp is a powerful, hulking dinosaur-like boss character from the Spyro the Dragon video game series, known for serving as one of Ripto’s main enforcers.
-
C.
Gum
Gum is a stylish, graffiti-tagging inline skater and one of the main playable members of the GGs gang in the Jet Set Radio video game series.
-
D.
The Juice
The Juice is the nickname of O. J. Simpson, the former American football star and actor who later became infamous for his highly publicized murder trial.
-
E.
Goon
Goon is a 2011 sports comedy film in which Seann William Scott stars as a kind-hearted but tough enforcer on a minor league hockey team.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592fe8408190bd8fed1920ab3601 |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.