Triple
T3342666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Action Jackson |
E70294
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Action Jackson |
E70294
|
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: Action Jackson | Statement: [Action Jackson, title, Action Jackson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Action Jackson Context triple: [Action Jackson, title, Action Jackson]
-
A.
Action Jackson
chosen
Action Jackson is a 1988 American action-comedy film starring Carl Weathers as a tough Detroit police detective battling a corrupt auto tycoon.
-
B.
The Rock
The Rock is the nickname of Corregidor, a heavily fortified island in the Philippines that played a crucial role in World War II as a last stronghold of Allied forces in the defense of Manila Bay.
-
C.
The Rock
The Rock is a hugely popular professional wrestler-turned-actor, best known for his charismatic WWE persona and leading roles in major Hollywood action films.
-
D.
Jacksen
Jacksen is a given name that functions as an alternative spelling variant of the more common name Jackson.
-
E.
I School
The I School is the School of Information at the University of California, Berkeley, specializing in the study and design of information, data, and technology in their social context.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f06f8c8190a6b7c56ac3f5ff07 |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a946ba88190bd40ba7481baf28d |
completed | March 12, 2026, 7:57 p.m. |
Created at: March 8, 2026, 3:12 p.m.