Triple
T14765791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Words |
E346991
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Andrew Dodge
Andrew Dodge is a screenwriter best known for writing the comedy film "Bad Words," starring Jason Bateman.
|
E1119336
|
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: Andrew Dodge | Statement: [Bad Words, writer, Andrew Dodge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Dodge Context triple: [Bad Words, writer, Andrew Dodge]
-
A.
Peter Dodge
Peter Dodge is an architect best known for designing the Concord Pavilion, a prominent outdoor concert venue in Concord, California.
-
B.
Matt Dodge
Matt Dodge is a former NFL punter best known for his time with the New York Giants, particularly for a pivotal misplayed punt in a 2010 game against the Philadelphia Eagles.
-
C.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
-
D.
Dane Bowers
Dane Bowers is a British singer, songwriter, and producer best known as a member of the late-1990s boy band Another Level and for his collaborations in UK garage music.
-
E.
Bill Denbrough
Bill Denbrough is a central member of the Losers' Club in Stephen King's horror universe, known for his leadership, stutter, and lifelong struggle against the shape-shifting entity known as It.
- 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: Andrew Dodge Triple: [Bad Words, writer, Andrew Dodge]
Generated description
Andrew Dodge is a screenwriter best known for writing the comedy film "Bad Words," starring Jason Bateman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Dodge Target entity description: Andrew Dodge is a screenwriter best known for writing the comedy film "Bad Words," starring Jason Bateman.
-
A.
Peter Dodge
Peter Dodge is an architect best known for designing the Concord Pavilion, a prominent outdoor concert venue in Concord, California.
-
B.
Matt Dodge
Matt Dodge is a former NFL punter best known for his time with the New York Giants, particularly for a pivotal misplayed punt in a 2010 game against the Philadelphia Eagles.
-
C.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
-
D.
Dane Bowers
Dane Bowers is a British singer, songwriter, and producer best known as a member of the late-1990s boy band Another Level and for his collaborations in UK garage music.
-
E.
Bill Denbrough
Bill Denbrough is a central member of the Losers' Club in Stephen King's horror universe, known for his leadership, stutter, and lifelong struggle against the shape-shifting entity known as It.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf4cef081909fa62125f43b36bc |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe1d66af94819091a84c2225cc7828 |
completed | May 8, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1e0089e08190a91f8683e683c371 |
completed | May 8, 2026, 5:31 p.m. |
Created at: April 10, 2026, 1:30 a.m.