Triple
T9237995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office Christmas Party |
E221984
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Justin Malen |
E727271
|
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: Justin Malen | Statement: [Office Christmas Party, screenwriter, Justin Malen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Malen Context triple: [Office Christmas Party, screenwriter, Justin Malen]
-
A.
Justin Malen
chosen
Justin Malen is an American screenwriter known for writing mainstream studio comedies such as "Yes Day" and "Office Christmas Party."
-
B.
Matthew Stuecken
Matthew Stuecken is a film screenwriter best known for co-writing the psychological sci-fi thriller "10 Cloverfield Lane."
-
C.
Jared Vennett
Jared Vennett is a slick, opportunistic Wall Street trader in "The Big Short" who profits by betting against the U.S. housing market before its 2008 collapse.
-
D.
Justin Spitz
Justin Spitz is known as one of the children of legendary American Olympic swimmer Mark Spitz.
-
E.
Justin O’Brien
Justin O’Brien was an American scholar and translator best known for his influential English translations of Albert Camus’s works, which helped introduce the French existentialist writer to a broad Anglophone audience.
- 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf09f9e908190801fe114c5e63984 |
completed | April 1, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077d4c4a881909c80176ddf5101a4 |
completed | April 4, 2026, 2:30 a.m. |
Created at: March 30, 2026, 7:30 p.m.