Triple
T4051143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TicPods |
E84587
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | TicPods 2 |
E84587
|
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: TicPods 2 | Statement: [TicPods, hasModel, TicPods 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TicPods 2 Context triple: [TicPods, hasModel, TicPods 2]
-
A.
TicPods
chosen
TicPods are a line of true wireless earbuds by Mobvoi known for integrating smart features and voice assistant support.
-
B.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
C.
SkyPod
SkyPod is the highest observation deck of Toronto’s CN Tower, offering panoramic views from near the top of the landmark skyscraper.
-
D.
Bop It
"Bop It" is a popular drill-rap song by New York rapper Fivio Foreign known for its catchy hook and high-energy production.
-
E.
Tetro
Tetro is a 2009 drama film directed by Francis Ford Coppola, in which Maribel Verdú plays a key supporting role in a story about fractured family relationships and artistic rivalry in Buenos Aires.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb8539148190990468c1429be9dd |
completed | March 9, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5629e75e88190935ae3e7db8eb12f |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:37 p.m.