Triple
T11544455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priest |
E273746
|
entity |
| Predicate | alternateHero |
P86336
|
FINISHED |
| Object |
Madame Lazul
Madame Lazul is a shadowy, fortune-telling priest character from the Hearthstone universe known for her prophetic powers and manipulative schemes.
|
E930840
|
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: Madame Lazul | Statement: [Priest, alternateHero, Madame Lazul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madame Lazul Context triple: [Priest, alternateHero, Madame Lazul]
-
A.
Madame Cama
Madame Cama was an Indian independence activist and revolutionary who is best known for unfurling one of the first versions of the Indian national flag on foreign soil and advocating for India’s freedom from British rule.
-
B.
Madama
Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
-
C.
Madame Rouge
Madame Rouge is a shape-shifting supervillain and sometimes antihero in DC Comics, best known as a key adversary of the Doom Patrol.
-
D.
Madame Merle
Madame Merle is a sophisticated, manipulative socialite in Henry James’s novel "The Portrait of a Lady," known for her calculated influence over the heroine Isabel Archer.
-
E.
Violette
Violette is a small river in France that serves as a tributary of the Alagnon.
- 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: Madame Lazul Triple: [Priest, alternateHero, Madame Lazul]
Generated description
Madame Lazul is a shadowy, fortune-telling priest character from the Hearthstone universe known for her prophetic powers and manipulative schemes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madame Lazul Target entity description: Madame Lazul is a shadowy, fortune-telling priest character from the Hearthstone universe known for her prophetic powers and manipulative schemes.
-
A.
Madame Cama
Madame Cama was an Indian independence activist and revolutionary who is best known for unfurling one of the first versions of the Indian national flag on foreign soil and advocating for India’s freedom from British rule.
-
B.
Madama
Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
-
C.
Madame Rouge
Madame Rouge is a shape-shifting supervillain and sometimes antihero in DC Comics, best known as a key adversary of the Doom Patrol.
-
D.
Madame Merle
Madame Merle is a sophisticated, manipulative socialite in Henry James’s novel "The Portrait of a Lady," known for her calculated influence over the heroine Isabel Archer.
-
E.
Violette
Violette is a small river in France that serves as a tributary of the Alagnon.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e1d754819089f3b6be3404fa0b |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e685cc855881908ea96d84c76e3a4d |
completed | April 20, 2026, 8 p.m. |
| NEDg | Description generation | batch_69e68fd9d1b88190ba6057a52f51c961 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e69f3de9208190b65f25c3e2d6e222 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:37 p.m.