Triple
T7604086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tron: Legacy |
E180055
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object |
The Grid
The Grid is a vast, neon-lit virtual world and computer system featured in the Tron franchise, where programs and users interact in a high-stakes digital arena.
|
E676127
|
NE FINISHED |
How this triple was built (4 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: The Grid | Statement: [Tron: Legacy, setIn, The Grid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Grid Context triple: [Tron: Legacy, setIn, The Grid]
-
A.
The Grid
The Grid is a science fiction television miniseries known for its focus on counterterrorism and international security operations.
-
B.
The Cube
The Cube is the powerful, ancient artifact in the Transformers universe capable of creating and granting life to Cybertronian robots.
-
C.
The Zone
The Zone was the lively amusement and entertainment district of the Panama–Pacific International Exposition, featuring rides, shows, and attractions for fairgoers.
-
D.
Minigrid
Minigrid is a lightweight, gridworld-based reinforcement learning environment suite commonly used for research on sample-efficient learning and generalization.
-
E.
Clearinghouse
Clearinghouse is a U.S. federal database that tracks commercial drivers’ drug and alcohol program violations to improve roadway safety and compliance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Grid Triple: [Tron: Legacy, setIn, The Grid]
Generated description
The Grid is a vast, neon-lit virtual world and computer system featured in the Tron franchise, where programs and users interact in a high-stakes digital arena.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Grid Target entity description: The Grid is a vast, neon-lit virtual world and computer system featured in the Tron franchise, where programs and users interact in a high-stakes digital arena.
-
A.
The Grid
The Grid is a science fiction television miniseries known for its focus on counterterrorism and international security operations.
-
B.
The Cube
The Cube is the powerful, ancient artifact in the Transformers universe capable of creating and granting life to Cybertronian robots.
-
C.
The Zone
The Zone was the lively amusement and entertainment district of the Panama–Pacific International Exposition, featuring rides, shows, and attractions for fairgoers.
-
D.
Minigrid
Minigrid is a lightweight, gridworld-based reinforcement learning environment suite commonly used for research on sample-efficient learning and generalization.
-
E.
Clearinghouse
Clearinghouse is a U.S. federal database that tracks commercial drivers’ drug and alcohol program violations to improve roadway safety and compliance.
- F. None of above. chosen
Provenance (5 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fbd1408190b721bf016f997c7b |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8684f3cf08190bc3cbafbd8c1b9a0 |
completed | March 28, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_69c86935488c8190854173b940a3e4bd |
completed | March 28, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c869b673c081908f2bb2eb59c2dec8 |
completed | March 28, 2026, 11:52 p.m. |
Created at: March 27, 2026, 3:54 p.m.