Triple
T16327111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Sloss |
E396449
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object | Morgan Spurlock |
E673663
|
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: Morgan Spurlock | Statement: [John Sloss, hasWorkedWith, Morgan Spurlock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgan Spurlock Context triple: [John Sloss, hasWorkedWith, Morgan Spurlock]
-
A.
Morgan Spurlock
chosen
Morgan Spurlock is an American documentary filmmaker best known for directing and starring in the fast-food exposé film "Super Size Me."
-
B.
Ed Horowitz
Ed Horowitz is a screenwriter best known for co-writing the action film "Exit Wounds."
-
C.
Kirby Dick
Kirby Dick is an American documentary filmmaker known for his hard-hitting investigative films that expose institutional abuses and champion social justice issues.
-
D.
Bryan Fogel
Bryan Fogel is an American filmmaker and playwright best known for directing the Oscar-winning doping documentary "Icarus" and the human rights exposé "The Dissident."
-
E.
Stephen Gaghan
Stephen Gaghan is an American screenwriter and director best known for his politically charged, multi-narrative films such as "Traffic" and "Syriana."
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296bab8b48190b373b4efbd6f0d8c |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260f487c81909e3e54e47c11b83a |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.