Triple
T13147831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Days on Mars |
E312385
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Peter Lambert |
E987402
|
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: Peter Lambert | Statement: [The Last Days on Mars, editor, Peter Lambert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Lambert Context triple: [The Last Days on Mars, editor, Peter Lambert]
-
A.
Peter Lambert
chosen
Peter Lambert is a film editor best known for his work on the satirical political comedy "The Death of Stalin."
-
B.
Gary Lambert
Gary Lambert is a central figure in Jonathan Franzen's novel "The Corrections," portrayed as an anxious, financially driven Midwestern son struggling with family expectations and personal dissatisfaction.
-
C.
Scott Lambert
Scott Lambert is a film producer known for his work on the drama film "North Country."
-
D.
Scott Lambert
Scott Lambert is a film and television producer known for his work on projects such as the movie "The Silence."
-
E.
Scott Lambert
Scott Lambert is a film producer known for his work on acclaimed projects including the psychological drama "Tár."
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eae834908190aecb825db1d705ff |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:10 p.m.