Triple
T1011816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Magic Sword |
E21839
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Lodac
Lodac is the powerful evil sorcerer and primary antagonist in the 1962 fantasy film "The Magic Sword."
|
E122455
|
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: Lodac | Statement: [The Magic Sword, character, Lodac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lodac Context triple: [The Magic Sword, character, Lodac]
-
A.
Lodis
The Lodis were an Afghan Muslim dynasty that ruled the late Delhi Sultanate in northern India during the 15th and early 16th centuries, just before the rise of the Mughal Empire.
-
B.
Lozanella
Lozanella is a small genus of flowering plants in the hemp family Cannabaceae, native to parts of Central and South America.
-
C.
Lacringi
The Lacringi were a lesser-known Germanic tribe that participated in the Marcomannic Wars against the Roman Empire in the 2nd century AD.
-
D.
Lechmere
Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
-
E.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
- 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: Lodac Triple: [The Magic Sword, character, Lodac]
Generated description
Lodac is the powerful evil sorcerer and primary antagonist in the 1962 fantasy film "The Magic Sword."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lodac Target entity description: Lodac is the powerful evil sorcerer and primary antagonist in the 1962 fantasy film "The Magic Sword."
-
A.
Lodis
The Lodis were an Afghan Muslim dynasty that ruled the late Delhi Sultanate in northern India during the 15th and early 16th centuries, just before the rise of the Mughal Empire.
-
B.
Lozanella
Lozanella is a small genus of flowering plants in the hemp family Cannabaceae, native to parts of Central and South America.
-
C.
Lacringi
The Lacringi were a lesser-known Germanic tribe that participated in the Marcomannic Wars against the Roman Empire in the 2nd century AD.
-
D.
Lechmere
Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
-
E.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7a743cc8190a46e6a14e3e8130f |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bad654c81909dd59211fafa8b2c |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3c41ab70819090084c508dbfd295 |
completed | March 7, 2026, 2:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3cbb30d081909759df25c21eb275 |
completed | March 7, 2026, 2:56 p.m. |
Created at: March 1, 2026, 7:41 p.m.