Triple
T7387433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcian Hoff |
E170415
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Teklicon
Teklicon is a technology consulting and expert witness firm known for employing semiconductor pioneer Marcian "Ted" Hoff.
|
E660929
|
NE FINISHED |
How this triple was built (4 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: Teklicon | Statement: [Marcian Hoff, employer, Teklicon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teklicon Context triple: [Marcian Hoff, employer, Teklicon]
-
A.
Teldec
Teldec was a prominent German classical music record label known for its high-quality recordings and influential catalog of orchestral and early music.
-
B.
Tronic
Tronic is a critically acclaimed studio album by Detroit rapper and producer Black Milk, known for its futuristic production and intricate lyricism.
-
C.
Erlecom
Erlecom is a small village in the Dutch province of Gelderland, situated along the Waal River within the municipality of Berg en Dal.
-
D.
Charmco
Charmco is a small unincorporated community located in Greenbrier County, West Virginia, historically associated with the local lumber industry.
-
E.
Volacom
Volacom is a company founded by Tesla co-founder and battery technology pioneer JB Straubel, likely focused on advanced engineering and sustainable technology solutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Teklicon Triple: [Marcian Hoff, employer, Teklicon]
Generated description
Teklicon is a technology consulting and expert witness firm known for employing semiconductor pioneer Marcian "Ted" Hoff.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teklicon Target entity description: Teklicon is a technology consulting and expert witness firm known for employing semiconductor pioneer Marcian "Ted" Hoff.
-
A.
Teldec
Teldec was a prominent German classical music record label known for its high-quality recordings and influential catalog of orchestral and early music.
-
B.
Tronic
Tronic is a critically acclaimed studio album by Detroit rapper and producer Black Milk, known for its futuristic production and intricate lyricism.
-
C.
Erlecom
Erlecom is a small village in the Dutch province of Gelderland, situated along the Waal River within the municipality of Berg en Dal.
-
D.
Charmco
Charmco is a small unincorporated community located in Greenbrier County, West Virginia, historically associated with the local lumber industry.
-
E.
Volacom
Volacom is a company founded by Tesla co-founder and battery technology pioneer JB Straubel, likely focused on advanced engineering and sustainable technology solutions.
- F. None of above. chosen
Provenance (5 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f2bac481908ac74069182a4ce4 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802e56fb48190976612d2a94d6ee5 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c803707cec8190bb474c959ef93d48 |
completed | March 28, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803ed9ec4819090a9481954060769 |
completed | March 28, 2026, 4:38 p.m. |
Created at: March 27, 2026, 3:08 p.m.