Triple
T8439493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Urich |
E199313
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Urich
Urich is a surname most notably associated with American actor Robert Urich, known for his roles in television series such as "Spenser: For Hire" and "Vega$."
|
E733477
|
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: Urich | Statement: [Robert Urich, familyName, Urich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urich Context triple: [Robert Urich, familyName, Urich]
-
A.
Burkhard
Burkhard is a Germanic-origin surname found in various European countries and among their diasporas.
-
B.
Ulrich
Ulrich is a masculine given name of Germanic origin, commonly used in German-speaking countries and historically borne by nobles, scholars, and religious figures.
-
C.
Ulrych
Ulrych is a variant spelling of the Germanic given name Ulrich, commonly used in Central and Eastern European contexts.
-
D.
Dalstroi
Dalstroi was a Soviet state organization that managed forced labor camps and large-scale industrial and construction projects in the Kolyma region, particularly focused on gold mining.
-
E.
Felix Krull
Felix Krull is the charming, quick-witted con artist and social climber who narrates Thomas Mann’s picaresque novel "The Confessions of Felix Krull."
- 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: Urich Triple: [Robert Urich, familyName, Urich]
Generated description
Urich is a surname most notably associated with American actor Robert Urich, known for his roles in television series such as "Spenser: For Hire" and "Vega$."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urich Target entity description: Urich is a surname most notably associated with American actor Robert Urich, known for his roles in television series such as "Spenser: For Hire" and "Vega$."
-
A.
Burkhard
Burkhard is a Germanic-origin surname found in various European countries and among their diasporas.
-
B.
Ulrich
Ulrich is a masculine given name of Germanic origin, commonly used in German-speaking countries and historically borne by nobles, scholars, and religious figures.
-
C.
Ulrych
Ulrych is a variant spelling of the Germanic given name Ulrich, commonly used in Central and Eastern European contexts.
-
D.
Dalstroi
Dalstroi was a Soviet state organization that managed forced labor camps and large-scale industrial and construction projects in the Kolyma region, particularly focused on gold mining.
-
E.
Felix Krull
Felix Krull is the charming, quick-witted con artist and social climber who narrates Thomas Mann’s picaresque novel "The Confessions of Felix Krull."
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe13708988190a534e38d8254c9bd |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d9140b48190ad0c493948a3de5e |
completed | April 2, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69ce1f12e1a081909d28b06c520353ef |
completed | April 2, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1fb498448190a2737b8895f6bb48 |
completed | April 2, 2026, 7:50 a.m. |
Created at: March 30, 2026, 6:08 p.m.