Triple
T10338306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Turman |
E243062
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Short Circuit |
E356989
|
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: Short Circuit | Statement: [Lawrence Turman, produced, Short Circuit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Short Circuit Context triple: [Lawrence Turman, produced, Short Circuit]
-
A.
Short Circuit
chosen
Short Circuit is a 1986 science fiction comedy film about a military robot that gains sentience after being struck by lightning.
-
B.
Short Circuit 2
Short Circuit 2 is a 1988 science-fiction comedy film that follows the adventures of the sentient robot Johnny 5 as he navigates life in a big city while being exploited by criminals.
-
C.
Blue Box
Blue Box was a compatibility environment in early Mac OS X that allowed users to run classic Mac OS applications within the new operating system.
-
D.
Zapping
Zapping is a Spanish film that marked the screen debut of actress Paz Vega.
-
E.
Short Cut
"Short Cut" is a conceptual art installation by the Scandinavian artist duo Elmgreen & Dragset featuring a car towing a caravan partially submerged in the gallery floor, playfully challenging perceptions of space, travel, and everyday objects.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e0a3a8e4819097268ce101dec2d1 |
completed | April 7, 2026, 10:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d79508427c81909db511e969bc9ddb |
completed | April 9, 2026, 12:01 p.m. |
Created at: April 6, 2026, 11:54 a.m.