Triple
T3988728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starship Troopers |
E86935
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Mark Goldblatt |
E403998
|
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: Mark Goldblatt | Statement: [Starship Troopers, editedBy, Mark Goldblatt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Goldblatt Context triple: [Starship Troopers, editedBy, Mark Goldblatt]
-
A.
Mark Goldblatt
chosen
Mark Goldblatt is an American film editor best known for his work on high-profile action movies such as The Terminator, Predator 2, and Rambo: First Blood Part II.
-
B.
Stephen Goldblatt
Stephen Goldblatt is a British cinematographer known for his work on major films such as Charlie Wilson's War, Batman Forever, and Lethal Weapon.
-
C.
Josh Goldstein
Josh Goldstein is a screenwriter best known for co-writing the story for Disney’s adventure film "Jungle Cruise."
-
D.
Mark Gertler
Mark Gertler was a British painter associated with the early 20th-century Bloomsbury and London art circles, known for his emotionally intense and often modernist works such as "Merry-Go-Round."
-
E.
Mark Gertler
Mark Gertler is an American economist known for his influential work in macroeconomics and monetary economics, particularly on financial frictions and business cycles.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa007344819099515fda367f7016 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef7dcea7481908c4430d07d7213cb |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 9, 2026, 3:33 p.m.