Triple
T19553065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T.I.P. |
E489239
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Tip |
—
|
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: Tip | Statement: [T.I.P., alsoKnownAs, Tip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tip Context triple: [T.I.P., alsoKnownAs, Tip]
-
A.
Tip
Tip is a young penguin who befriends Melody and helps her on her underwater adventure in Disney's animated sequel "The Little Mermaid II: Return to the Sea."
-
B.
Tip
Tip is the stage name of Clifford Joseph Harris Jr., an American rapper, actor, and entrepreneur better known as T.I., a prominent figure in Southern hip hop.
-
C.
Tip
Tip was the widely used nickname of Thomas P. "Tip" O'Neill Jr., the influential American Democratic politician and longtime Speaker of the U.S. House of Representatives.
-
D.
Tip
chosen
Tip is the young boy protagonist of L. Frank Baum’s Oz sequel "The Marvelous Land of Oz," later revealed to be the enchanted Princess Ozma.
-
E.
TIP
TIP is the IATA airport code for Tripoli International Airport, the main international airport serving Tripoli, Libya.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d315c68819087402802d624a8c9 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.