Triple
T19552413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brand X |
E489225
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Masques
Masques is a creative work associated with Brand X, likely recognized as one of the brand’s signature or standout projects.
|
E1381247
|
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: Masques | Statement: [Brand X, notableWork, Masques]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masques Context triple: [Brand X, notableWork, Masques]
-
A.
Le maschere
Le maschere is a comic opera in three acts by Italian composer Pietro Mascagni that playfully revives the traditions and stock characters of commedia dell’arte.
-
B.
MASQUE
MASQUE is an IETF protocol framework that enables proxying of network traffic such as HTTP, DNS, and VPN-like tunnels over HTTP/3 using QUIC.
-
C.
Máscaras
Máscaras is a Brazilian telenovela known for its themes of identity, intrigue, and deception.
-
D.
The Masks
"The Masks" is a classic 1964 episode of The Twilight Zone in which a dying man forces his greedy relatives to wear grotesque masks that ultimately reveal their true inner selves.
-
E.
The House of Masks
The House of Masks is a themed stage at the Tomorrowland electronic dance music festival known for its immersive decor and performances.
- 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: Masques Triple: [Brand X, notableWork, Masques]
Generated description
Masques is a creative work associated with Brand X, likely recognized as one of the brand’s signature or standout projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Masques Target entity description: Masques is a creative work associated with Brand X, likely recognized as one of the brand’s signature or standout projects.
-
A.
Le maschere
Le maschere is a comic opera in three acts by Italian composer Pietro Mascagni that playfully revives the traditions and stock characters of commedia dell’arte.
-
B.
MASQUE
MASQUE is an IETF protocol framework that enables proxying of network traffic such as HTTP, DNS, and VPN-like tunnels over HTTP/3 using QUIC.
-
C.
Máscaras
Máscaras is a Brazilian telenovela known for its themes of identity, intrigue, and deception.
-
D.
The Masks
"The Masks" is a classic 1964 episode of The Twilight Zone in which a dying man forces his greedy relatives to wear grotesque masks that ultimately reveal their true inner selves.
-
E.
The House of Masks
The House of Masks is a themed stage at the Tomorrowland electronic dance music festival known for its immersive decor and performances.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d315c68819087402802d624a8c9 |
completed | April 20, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e8e25188190901a4883c5ad7f5e |
completed | May 15, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_6a074ef599a88190a1edd95887a0c092 |
completed | May 15, 2026, 4:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074fa5d4ec81908900ebf532408239 |
completed | May 15, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:41 p.m.