Triple
T13635827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas David Morrison |
E325845
|
entity |
| Predicate | fought |
P30824
|
FINISHED |
| Object |
Tim Tomashek
Tim Tomashek is an American professional wrestler best known for his work in regional promotions during the late 20th century.
|
E1055044
|
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: Tim Tomashek | Statement: [Thomas David Morrison, fought, Tim Tomashek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Tomashek Context triple: [Thomas David Morrison, fought, Tim Tomashek]
-
A.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
B.
John-Michael Tebelak
John-Michael Tebelak was an American playwright and director best known for conceiving and originally directing the musical "Godspell."
-
C.
Marcus T. Paulk
Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
-
D.
Trevor Penick
Trevor Penick is an American singer and dancer best known as a member of the early-2000s boy band O-Town formed on the reality TV show "Making the Band."
-
E.
Andy Jurgensen
Andy Jurgensen is a film editor known for his work on acclaimed movies such as Licorice Pizza.
- 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: Tim Tomashek Triple: [Thomas David Morrison, fought, Tim Tomashek]
Generated description
Tim Tomashek is an American professional wrestler best known for his work in regional promotions during the late 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Tomashek Target entity description: Tim Tomashek is an American professional wrestler best known for his work in regional promotions during the late 20th century.
-
A.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
B.
John-Michael Tebelak
John-Michael Tebelak was an American playwright and director best known for conceiving and originally directing the musical "Godspell."
-
C.
Marcus T. Paulk
Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
-
D.
Trevor Penick
Trevor Penick is an American singer and dancer best known as a member of the early-2000s boy band O-Town formed on the reality TV show "Making the Band."
-
E.
Andy Jurgensen
Andy Jurgensen is a film editor known for his work on acclaimed movies such as Licorice Pizza.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a616dc81908b8c1213e1d4beed |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794307c288190a0f4629bf5e2b0d9 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f79655d5f08190a3cbf3e12e2ffa67 |
completed | May 3, 2026, 6:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7972a1cf48190a1d435227414967a |
completed | May 3, 2026, 6:42 p.m. |
Created at: April 9, 2026, 9:51 p.m.