Triple
T19129265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Howsam |
E468272
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Howsam
Howsam is an English-language surname most notably associated with Bob Howsam, a prominent American baseball executive.
|
E1360146
|
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: Howsam | Statement: [Bob Howsam, familyName, Howsam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howsam Context triple: [Bob Howsam, familyName, Howsam]
-
A.
Erik Howsam
Erik Howsam is a film producer known for his work on the military drama "Megan Leavey."
-
B.
Schermerhorn
Schermerhorn is the birth surname of American actress Alison Brie, known for her roles in "Community" and "Mad Men."
-
C.
Jake Hoyt
Jake Hoyt is a rookie LAPD narcotics officer whose moral integrity is tested during a tumultuous day under a corrupt veteran detective in the film "Training Day."
-
D.
Douglass Biggs
Douglass Biggs was a film editor active in early Hollywood, known for his work on major productions such as the 1930 aviation epic "Hell's Angels."
-
E.
Jack Hodges
Jack Hodges is a person notable enough to be recognized as a bearer of the surname Hodges, though specific widely known biographical details are not clearly established.
- 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: Howsam Triple: [Bob Howsam, familyName, Howsam]
Generated description
Howsam is an English-language surname most notably associated with Bob Howsam, a prominent American baseball executive.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Howsam Target entity description: Howsam is an English-language surname most notably associated with Bob Howsam, a prominent American baseball executive.
-
A.
Erik Howsam
Erik Howsam is a film producer known for his work on the military drama "Megan Leavey."
-
B.
Schermerhorn
Schermerhorn is the birth surname of American actress Alison Brie, known for her roles in "Community" and "Mad Men."
-
C.
Jake Hoyt
Jake Hoyt is a rookie LAPD narcotics officer whose moral integrity is tested during a tumultuous day under a corrupt veteran detective in the film "Training Day."
-
D.
Douglass Biggs
Douglass Biggs was a film editor active in early Hollywood, known for his work on major productions such as the 1930 aviation epic "Hell's Angels."
-
E.
Jack Hodges
Jack Hodges is a person notable enough to be recognized as a bearer of the surname Hodges, though specific widely known biographical details are not clearly established.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cf8d348190b27fc7d7d39f46f1 |
completed | April 20, 2026, 8:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e67d781c8190816cb9db0ea68225 |
completed | May 14, 2026, 3:13 p.m. |
| NEDg | Description generation | batch_6a05e7aa810081908d33193d8dcc88a9 |
completed | May 14, 2026, 3:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05ebe95e248190aecaa3625d14a2ea |
completed | May 14, 2026, 3:36 p.m. |
Created at: April 10, 2026, 12:05 p.m.