Triple
T4521786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Time |
E103285
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Zach Staenberg |
E17191
|
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: Zach Staenberg | Statement: [In Time, editedBy, Zach Staenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zach Staenberg Context triple: [In Time, editedBy, Zach Staenberg]
-
A.
Zach Staenberg
chosen
Zach Staenberg is an American film editor best known for his Academy Award–winning work on "The Matrix" and its sequels.
-
B.
Zach Woods
Zach Woods is an American actor and comedian best known for his roles on television series such as "The Office," "Silicon Valley," and "Avenue 5."
-
C.
Adam Kimmel
Adam Kimmel is an American cinematographer known for his work on acclaimed films such as "Capote," "Lars and the Real Girl," and "Never Let Me Go."
-
D.
Zack Stentz
Zack Stentz is an American screenwriter and producer known for co-writing major genre films and TV series, including Marvel's "Thor" and "X-Men: First Class."
-
E.
Dax Shepard
Dax Shepard is an American actor, comedian, writer, director, and podcast host known for roles in films like "Without a Paddle" and the TV series "Parenthood," as well as for hosting the popular podcast "Armchair Expert."
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd574bd6908190b939d92b5809b101 |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda43a82c08190b3d43efcee45a8ea |
completed | March 20, 2026, 7:47 p.m. |
Created at: March 20, 2026, 1:02 p.m.