Triple
T6360036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taking Chances |
E143086
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | John Shanks |
E470740
|
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: John Shanks | Statement: [Taking Chances, producer, John Shanks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Shanks Context triple: [Taking Chances, producer, John Shanks]
-
A.
John Shanks
chosen
John Shanks is a Grammy-winning American record producer, songwriter, and guitarist known for his work with major pop and rock artists.
-
B.
Armatage Shanks
"Armatage Shanks" is a fast-paced punk rock song by Green Day, featured on their 1995 album *Insomniac*.
-
C.
Foggy Nelson
Foggy Nelson is a loyal lawyer and best friend to Matt Murdock in Marvel's Daredevil, often serving as the moral and emotional anchor amid the series' vigilante chaos.
-
D.
James Hopper
James Hopper is the full given name of Jim Hopper, the fictional small-town police chief from the television series "Stranger Things."
-
E.
Lobster Johnson
Lobster Johnson is a pulp-style vigilante superhero from Mike Mignola’s Hellboy universe, known for his fiery claw symbol and battles against gangsters and occult threats in 1930s America.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f8758081909c5ce40abf57dd2c |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d66a8a08190b52bb8302787dac5 |
completed | March 27, 2026, 7:10 a.m. |
Created at: March 22, 2026, 4:32 p.m.