Triple
T16082382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home for Christmas |
E390140
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Bobby Sandstrom
Bobby Sandstrom is a music producer known for his work on the holiday-themed project "Home for Christmas."
|
E1193183
|
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: Bobby Sandstrom | Statement: [Home for Christmas, producer, Bobby Sandstrom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bobby Sandstrom Context triple: [Home for Christmas, producer, Bobby Sandstrom]
-
A.
Bobby Larson
Bobby Larson is an actor known for appearing in the Hardy family film "Out West with the Hardys."
-
B.
Roland Swenson
Roland Swenson is an American music and media executive best known as a co-founder and longtime leader of the South by Southwest (SXSW) festival in Austin, Texas.
-
C.
Thomas Enebo
Thomas Enebo is a software developer best known as a co-creator and lead maintainer of JRuby, the Ruby programming language implementation on the Java Virtual Machine.
-
D.
Brian Swardstrom
Brian Swardstrom is a prominent American talent agent and partner at United Talent Agency, known for representing acclaimed actors and filmmakers.
-
E.
Jeff Malmberg
Jeff Malmberg is an American documentary filmmaker best known for directing the acclaimed film "Marwencol," which inspired the narrative of "Welcome to Marwen."
- 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: Bobby Sandstrom Triple: [Home for Christmas, producer, Bobby Sandstrom]
Generated description
Bobby Sandstrom is a music producer known for his work on the holiday-themed project "Home for Christmas."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bobby Sandstrom Target entity description: Bobby Sandstrom is a music producer known for his work on the holiday-themed project "Home for Christmas."
-
A.
Bobby Larson
Bobby Larson is an actor known for appearing in the Hardy family film "Out West with the Hardys."
-
B.
Roland Swenson
Roland Swenson is an American music and media executive best known as a co-founder and longtime leader of the South by Southwest (SXSW) festival in Austin, Texas.
-
C.
Thomas Enebo
Thomas Enebo is a software developer best known as a co-creator and lead maintainer of JRuby, the Ruby programming language implementation on the Java Virtual Machine.
-
D.
Brian Swardstrom
Brian Swardstrom is a prominent American talent agent and partner at United Talent Agency, known for representing acclaimed actors and filmmakers.
-
E.
Jeff Malmberg
Jeff Malmberg is an American documentary filmmaker best known for directing the acclaimed film "Marwencol," which inspired the narrative of "Welcome to Marwen."
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1844b86288190ad0452aad6bdd5fb |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48cf76c8190bc96168fc2326ffb |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe5f7c9008190ba6239bc35ac7ebd |
completed | May 10, 2026, 1:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6a16b30819088a5d43c73715645 |
completed | May 10, 2026, 2 a.m. |
Created at: April 10, 2026, 4:57 a.m.