Triple
T9790208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Side Effects |
E237586
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Gregory Jacobs |
E213623
|
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: Gregory Jacobs | Statement: [Side Effects, producer, Gregory Jacobs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gregory Jacobs Context triple: [Side Effects, producer, Gregory Jacobs]
-
A.
Gregory Jacobs
chosen
Gregory Jacobs is an American film producer and director known for his longtime collaboration with Steven Soderbergh on numerous critically acclaimed movies.
-
B.
Gregory Jacobs
Gregory Jacobs is an American rapper and producer better known by his stage name Shock G, the frontman of Digital Underground and a key figure in West Coast hip hop.
-
C.
Gregory Anton
Gregory Anton is the manipulative husband and primary villain in the 1944 psychological thriller "Gaslight," whose deceitful tactics give the film—and the term "gaslighting"—its enduring cultural significance.
-
D.
Nicholas Grodin
Nicholas Grodin is the son of the late American actor and comedian Charles Grodin.
-
E.
Andrew Kelley
Andrew Kelley is a software engineer best known as the creator and lead developer of the Zig programming language.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda215b3108190a897552e1dc91cc4 |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eac78b1881908e77c3678f98fac9 |
completed | April 5, 2026, 4:53 a.m. |
Created at: March 30, 2026, 8:28 p.m.