Triple
T7160210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carver A. Mead |
E166923
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Carver
Carver is the given name of Carver A. Mead, a pioneering American electrical engineer and computer scientist known for his foundational work in microelectronics and VLSI design.
|
E645808
|
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: Carver | Statement: [Carver A. Mead, givenName, Carver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carver Context triple: [Carver A. Mead, givenName, Carver]
-
A.
Carver
Carver is a small town in southeastern Massachusetts known for its cranberry bogs and rural character.
-
B.
Carver
Carver is a common shorthand name for Carver-Hawkeye Arena, the University of Iowa’s primary indoor sports venue.
-
C.
Carver
Carver is a surname most notably associated with American short story writer and poet Raymond Carver, a key figure in late 20th-century minimalist fiction.
-
D.
Carver
Carver is the person after whom Carver Glacier in Oregon was named, likely an early explorer or notable figure associated with the region.
-
E.
Hooperman
Hooperman is an American television dramedy series from the late 1980s starring John Ritter as a San Francisco police inspector balancing his personal and professional life.
- 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: Carver Triple: [Carver A. Mead, givenName, Carver]
Generated description
Carver is the given name of Carver A. Mead, a pioneering American electrical engineer and computer scientist known for his foundational work in microelectronics and VLSI design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carver Target entity description: Carver is the given name of Carver A. Mead, a pioneering American electrical engineer and computer scientist known for his foundational work in microelectronics and VLSI design.
-
A.
Carver
Carver is a small town in southeastern Massachusetts known for its cranberry bogs and rural character.
-
B.
Carver
Carver is a common shorthand name for Carver-Hawkeye Arena, the University of Iowa’s primary indoor sports venue.
-
C.
Carver
Carver is a surname most notably associated with American short story writer and poet Raymond Carver, a key figure in late 20th-century minimalist fiction.
-
D.
Carver
Carver is the person after whom Carver Glacier in Oregon was named, likely an early explorer or notable figure associated with the region.
-
E.
Hooperman
Hooperman is an American television dramedy series from the late 1980s starring John Ritter as a San Francisco police inspector balancing his personal and professional life.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e811d6b081909dafeee1d820c74f |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adc08b688190a00024727542c8b9 |
completed | March 28, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_69c7ae661f4481908ee489023af9603b |
completed | March 28, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7aef767848190b7edf7a99e2e019d |
completed | March 28, 2026, 10:35 a.m. |
Created at: March 27, 2026, 2:47 p.m.