Triple
T492814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvester Stallone |
E10225
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sylvester |
E65231
|
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: Sylvester | Statement: [Sylvester Stallone, givenName, Sylvester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvester Context triple: [Sylvester Stallone, givenName, Sylvester]
-
A.
Sylvester
chosen
Sylvester is a classic Looney Tunes cartoon cat best known for his lisping voice and comical attempts to catch Tweety Bird.
-
B.
Melvin
Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
-
C.
Alfred
Alfred is a masculine given name of English origin, historically popular in Anglo-Saxon and later English-speaking cultures.
-
D.
Otis
Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
-
E.
Felix
Felix is a masculine given name of Latin origin meaning "happy" or "fortunate," borne by numerous historical and contemporary figures.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0faab4881909f65f172198b5bd2 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b5d3b5f0819093c5d55bdf5a7c4d |
completed | March 1, 2026, 9:55 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.