Triple
T17373961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramalho Ortigão |
E422384
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
As Farpas
As Farpas is a 19th-century Portuguese satirical and critical literary series co-authored by Ramalho Ortigão that scrutinizes the social and political life of Portugal.
|
E1266659
|
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: As Farpas | Statement: [Ramalho Ortigão, notableWork, As Farpas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: As Farpas Context triple: [Ramalho Ortigão, notableWork, As Farpas]
-
A.
Farap
Farap is a town in eastern Turkmenistan that serves as an important border crossing and transport hub between Turkmenistan and Uzbekistan.
-
B.
Fannius
Fannius is a character in Cicero’s philosophical dialogue "De re publica," participating in the work’s discussions on Roman politics and constitutional theory.
-
C.
Farhual
Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
-
D.
Falk
Falk is a surname most famously associated with American actor Peter Falk, best known for his role as the television detective Columbo.
-
E.
Farlan
Farlan is a Scottish family name recognized as a sept of Clan MacFarlane, historically associated with the Highlands.
- 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: As Farpas Triple: [Ramalho Ortigão, notableWork, As Farpas]
Generated description
As Farpas is a 19th-century Portuguese satirical and critical literary series co-authored by Ramalho Ortigão that scrutinizes the social and political life of Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: As Farpas Target entity description: As Farpas is a 19th-century Portuguese satirical and critical literary series co-authored by Ramalho Ortigão that scrutinizes the social and political life of Portugal.
-
A.
Farap
Farap is a town in eastern Turkmenistan that serves as an important border crossing and transport hub between Turkmenistan and Uzbekistan.
-
B.
Fannius
Fannius is a character in Cicero’s philosophical dialogue "De re publica," participating in the work’s discussions on Roman politics and constitutional theory.
-
C.
Farhual
Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
-
D.
Falk
Falk is a surname most famously associated with American actor Peter Falk, best known for his role as the television detective Columbo.
-
E.
Farlan
Farlan is a Scottish family name recognized as a sept of Clan MacFarlane, historically associated with the Highlands.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6b71148190bb10e1fac400d6c3 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019fef65b48190811f2e034672b572 |
completed | May 11, 2026, 9:22 a.m. |
| NEDg | Description generation | batch_6a01a176d2488190951bbe07233a37e4 |
completed | May 11, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a58b12088190828078c69c4fff4b |
completed | May 11, 2026, 9:46 a.m. |
Created at: April 10, 2026, 5:44 a.m.