Triple
T3994813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfman Jack |
E87073
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lou Smith
Lou Smith is best known as the wife of legendary American disc jockey and radio personality Wolfman Jack.
|
E420441
|
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: Lou Smith | Statement: [Wolfman Jack, spouse, Lou Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lou Smith Context triple: [Wolfman Jack, spouse, Lou Smith]
-
A.
Charlie Smith
Charlie Smith is a fictional protagonist featured as the central character in a narrative work.
-
B.
Phil Smith
Phil Smith was an American professional basketball player best known as a two-time NBA All-Star guard and key contributor to the Golden State Warriors’ 1975 championship team.
-
C.
Johnny Smith
Johnny Smith is the psychic protagonist of Stephen King’s novel "The Dead Zone," whose visions of the future drive the story’s moral and political suspense.
-
D.
Art Smith
Art Smith is an American celebrity chef and restaurateur best known for his Southern-inspired cuisine and for serving as a personal chef to high-profile clients, including Oprah Winfrey.
-
E.
Art Smith
Art Smith was an American character actor known for his supporting roles in classic film noir and drama during the 1940s and 1950s.
- 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: Lou Smith Triple: [Wolfman Jack, spouse, Lou Smith]
Generated description
Lou Smith is best known as the wife of legendary American disc jockey and radio personality Wolfman Jack.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lou Smith Target entity description: Lou Smith is best known as the wife of legendary American disc jockey and radio personality Wolfman Jack.
-
A.
Charlie Smith
Charlie Smith is a fictional protagonist featured as the central character in a narrative work.
-
B.
Phil Smith
Phil Smith was an American professional basketball player best known as a two-time NBA All-Star guard and key contributor to the Golden State Warriors’ 1975 championship team.
-
C.
Johnny Smith
Johnny Smith is the psychic protagonist of Stephen King’s novel "The Dead Zone," whose visions of the future drive the story’s moral and political suspense.
-
D.
Art Smith
Art Smith is an American celebrity chef and restaurateur best known for his Southern-inspired cuisine and for serving as a personal chef to high-profile clients, including Oprah Winfrey.
-
E.
Art Smith
Art Smith was an American character actor known for his supporting roles in classic film noir and drama during the 1940s and 1950s.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa1f0fb88190aafbfdc98bc8652d |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589c825a881908baa9014124548ff |
completed | March 14, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69b58d8e2ac881909cde82ab332e2a2b |
completed | March 14, 2026, 4:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58e06a5608190b1be8c442090ef79 |
completed | March 14, 2026, 4:34 p.m. |
Created at: March 9, 2026, 3:34 p.m.