Triple
T17912916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinestro Corps War |
E447855
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Mogo
Mogo is a sentient, planet-sized member of the Green Lantern Corps in DC Comics, known for its immense power and unique role as both a Lantern and a world.
|
E1294695
|
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: Mogo | Statement: [Sinestro Corps War, featuresCharacter, Mogo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mogo Context triple: [Sinestro Corps War, featuresCharacter, Mogo]
-
A.
Mogo
Mogo is a small historic village in New South Wales, Australia, known for its gold rush heritage, artisan shops, and nearby wildlife park.
-
B.
Pogo
Pogo is a highly intelligent, anthropomorphic chimpanzee who serves as a loyal assistant and father figure to the Hargreeves siblings in *The Umbrella Academy* series.
-
C.
Muno
Muno is a village in the municipality of Florenville in the Wallonia region of southern Belgium.
-
D.
Mvezo
Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
-
E.
Mook
Mook is a village in the Dutch province of Limburg, known for its scenic location along the Maas River near the German border.
- 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: Mogo Triple: [Sinestro Corps War, featuresCharacter, Mogo]
Generated description
Mogo is a sentient, planet-sized member of the Green Lantern Corps in DC Comics, known for its immense power and unique role as both a Lantern and a world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mogo Target entity description: Mogo is a sentient, planet-sized member of the Green Lantern Corps in DC Comics, known for its immense power and unique role as both a Lantern and a world.
-
A.
Mogo
Mogo is a small historic village in New South Wales, Australia, known for its gold rush heritage, artisan shops, and nearby wildlife park.
-
B.
Pogo
Pogo is a highly intelligent, anthropomorphic chimpanzee who serves as a loyal assistant and father figure to the Hargreeves siblings in *The Umbrella Academy* series.
-
C.
Muno
Muno is a village in the municipality of Florenville in the Wallonia region of southern Belgium.
-
D.
Mvezo
Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
-
E.
Mook
Mook is a village in the Dutch province of Limburg, known for its scenic location along the Maas River near the German border.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30288ac8190bc633e69447709bf |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b3213e08190ac036d10b1323704 |
completed | May 12, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a031bb94ff08190a4e2ad9e61a9c6dc |
completed | May 12, 2026, 12:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031c28c4548190ad876b4d4c799e8d |
completed | May 12, 2026, 12:25 p.m. |
Created at: April 10, 2026, 10:19 a.m.