Triple
T22487631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Torbert |
E555931
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Torbert
Torbert is a surname most notably associated with American musician and bassist Dave Torbert, known for his work in country rock and related genres.
|
E1538430
|
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: Torbert | Statement: [Dave Torbert, familyName, Torbert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torbert Context triple: [Dave Torbert, familyName, Torbert]
-
A.
Frosch
Frosch is the surname of Robert A. Frosch, an American scientist and former NASA administrator known for his contributions to space research and environmental policy.
-
B.
Tapuika
Tapuika is a Māori iwi (tribe) of the Te Arawa confederation, traditionally based in the Bay of Plenty region of New Zealand.
-
C.
Bulba
Bulba is a Ukrainian surname most notably associated with the literary character Taras Bulba from Nikolai Gogol’s historical novella.
-
D.
Tibo
Tibo is a diminutive form of the French given name Thibaud, commonly used as a familiar or affectionate nickname.
-
E.
Thwomp
Thwomp is a large, stone, spike-covered block-like enemy in the Super Mario series that tries to crush the player by slamming down from above.
- 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: Torbert Triple: [Dave Torbert, familyName, Torbert]
Generated description
Torbert is a surname most notably associated with American musician and bassist Dave Torbert, known for his work in country rock and related genres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Torbert Target entity description: Torbert is a surname most notably associated with American musician and bassist Dave Torbert, known for his work in country rock and related genres.
-
A.
Frosch
Frosch is the surname of Robert A. Frosch, an American scientist and former NASA administrator known for his contributions to space research and environmental policy.
-
B.
Tapuika
Tapuika is a Māori iwi (tribe) of the Te Arawa confederation, traditionally based in the Bay of Plenty region of New Zealand.
-
C.
Bulba
Bulba is a Ukrainian surname most notably associated with the literary character Taras Bulba from Nikolai Gogol’s historical novella.
-
D.
Tibo
Tibo is a diminutive form of the French given name Thibaud, commonly used as a familiar or affectionate nickname.
-
E.
Thwomp
Thwomp is a large, stone, spike-covered block-like enemy in the Super Mario series that tries to crush the player by slamming down from above.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3da9588190abf2f96d3104edfb |
completed | April 29, 2026, 1:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1267efb8819089124529fb7334a4 |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b142a78f88190ac02f8377a44cac4 |
completed | May 18, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b14a5f8ec8190bd30684a82cf5b6e |
completed | May 18, 2026, 1:31 p.m. |
Created at: April 16, 2026, 8:49 p.m.