Triple
T8091157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neal Dodson |
E188864
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Good Guy |
E560281
|
NE FINISHED |
How this triple was built (2 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: The Good Guy | Statement: [Neal Dodson, notableWork, The Good Guy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Good Guy Context triple: [Neal Dodson, notableWork, The Good Guy]
-
A.
The Good Guy
chosen
"The Good Guy" is a 2009 romantic dramedy film about the complexities of modern relationships and Wall Street culture, starring Trini Alvarado among its cast.
-
B.
The Good Guys
The Good Guys is an American comedic buddy-cop television series that follows a washed-up, old-school detective and his by-the-book partner as they bumble through crime-solving in Dallas.
-
C.
The Tall Guy
The Tall Guy is a 1989 British romantic comedy film starring Jeff Goldblum and Emma Thompson, written by Richard Curtis and set in London’s West End theatre world.
-
D.
Good Man
"Good Man" is a soulful, retro-inspired track by Raphael Saadiq from his album *Stone Rollin'* that blends classic R&B with modern production.
-
E.
Good Man
"Good Man" is a contemporary R&B song by American singer Ne-Yo, known for its smooth production and themes of commitment and personal growth in relationships.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421fb8348190b6495394d498d3f4 |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc640dbab881908a8142ac472f3408 |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:29 p.m.