Triple
T5045334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T.I. |
E113648
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Tip |
E314826
|
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: Tip | Statement: [T.I., alsoKnownAs, Tip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tip Context triple: [T.I., alsoKnownAs, Tip]
-
A.
Tip
chosen
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.
-
B.
TIP
TIP is the IATA airport code for Tripoli International Airport, the main international airport serving Tripoli, Libya.
-
C.
Tip and Tap
Tip and Tap are the twin boy mascots created to represent West Germany as the official characters of the 1974 FIFA World Cup.
-
D.
BeTipul
BeTipul is an acclaimed Israeli psychological drama television series that follows the intense, therapy-room conversations between a psychologist and his patients.
-
E.
Tipai
Tipai is a Yuman language variety traditionally spoken by the Tipai people of northern Baja California and southern California, closely related to other Kumeyaay dialects.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73fd81788190b7799f519277119a |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c8ad6408190bf4408af7b095a12 |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:37 p.m.