Triple
T3120510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phrenology |
E65171
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Hi-Tek |
E126919
|
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: Hi-Tek | Statement: [Phrenology, producer, Hi-Tek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hi-Tek Context triple: [Phrenology, producer, Hi-Tek]
-
A.
Hi-Tek
chosen
Hi-Tek is an American hip hop producer and DJ best known for his soulful, sample-based beats and his collaborative work with Talib Kweli as part of the duo Reflection Eternal.
-
B.
Arrohateck
Arrohateck was a Native American tribe of the Powhatan Confederacy that inhabited the region along the James River in what is now Virginia during the early colonial period.
-
C.
T-Engineering
T-Engineering is an engineering firm known for its role in designing major infrastructure projects, including the Yavuz Sultan Selim Bridge in Turkey.
-
D.
Litton Industries
Litton Industries was a major American conglomerate best known for its diversified operations in electronics, defense, and industrial manufacturing during the mid-20th century.
-
E.
Invetech
Invetech is a technology and product development company specializing in designing and engineering innovative medical and life science solutions.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4eb6a6081909df41f67999eb4ff |
completed | March 8, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f67b80c8190849581cf1829d840 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.