Triple
T10311497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathy Najimy |
E241899
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object |
Mo Gaffney
Mo Gaffney is an American actress, comedian, and writer best known for her sharp-witted stage and television work, including frequent collaborations with Kathy Najimy.
|
E855713
|
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: Mo Gaffney | Statement: [Kathy Najimy, collaboratedWith, Mo Gaffney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mo Gaffney Context triple: [Kathy Najimy, collaboratedWith, Mo Gaffney]
-
A.
Lee Garmes
Lee Garmes was an American cinematographer renowned for his innovative lighting and camera techniques in early Hollywood cinema, including his Academy Award-winning work on "Shanghai Express."
-
B.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
-
C.
Joe Gayton
Joe Gayton is an American screenwriter and producer best known for co-creating the Western television drama series "Hell on Wheels."
-
D.
Michele Gossett
Michele Gossett is known as the wife of American actor Robert Gossett.
-
E.
Todd Mohney
Todd Mohney is an American guitarist best known for his early-2000s tenure in the Chicago punk rock band Rise Against.
- 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: Mo Gaffney Triple: [Kathy Najimy, collaboratedWith, Mo Gaffney]
Generated description
Mo Gaffney is an American actress, comedian, and writer best known for her sharp-witted stage and television work, including frequent collaborations with Kathy Najimy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mo Gaffney Target entity description: Mo Gaffney is an American actress, comedian, and writer best known for her sharp-witted stage and television work, including frequent collaborations with Kathy Najimy.
-
A.
Lee Garmes
Lee Garmes was an American cinematographer renowned for his innovative lighting and camera techniques in early Hollywood cinema, including his Academy Award-winning work on "Shanghai Express."
-
B.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
-
C.
Joe Gayton
Joe Gayton is an American screenwriter and producer best known for co-creating the Western television drama series "Hell on Wheels."
-
D.
Michele Gossett
Michele Gossett is known as the wife of American actor Robert Gossett.
-
E.
Todd Mohney
Todd Mohney is an American guitarist best known for his early-2000s tenure in the Chicago punk rock band Rise Against.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d32ac6c08190b23eb042b3ec284a |
completed | April 7, 2026, 9:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d78ece88190885768c979b038df |
completed | April 9, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69d73186831481909555e2205d8783a7 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d732bfc76c819089287477b54a7b77 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:47 a.m.