Triple
T9149425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quintus Lutatius Catulus |
E219542
|
entity |
| Predicate | nobleFamily |
P914
|
FINISHED |
| Object |
gens Lutatia
Gens Lutatia was an ancient Roman plebeian family that produced several notable politicians and military leaders during the Republic.
|
E781264
|
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: gens Lutatia | Statement: [Quintus Lutatius Catulus, nobleFamily, gens Lutatia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: gens Lutatia Context triple: [Quintus Lutatius Catulus, nobleFamily, gens Lutatia]
-
A.
Lut
Lut is a prophet in Islamic tradition, known for being sent to the people of Sodom and Gomorrah and warning them against their immoral behavior.
-
B.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
C.
Lugana
Lugana is an Italian white wine appellation near Lake Garda, renowned for its fresh, mineral-driven wines primarily made from the Turbiana grape.
-
D.
Nagara Latina
Nagara Latina is a subtype of North Indian Hindu temple architecture characterized by its curvilinear tower (shikhara) rising directly above the sanctum.
-
E.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
- 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: gens Lutatia Triple: [Quintus Lutatius Catulus, nobleFamily, gens Lutatia]
Generated description
Gens Lutatia was an ancient Roman plebeian family that produced several notable politicians and military leaders during the Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: gens Lutatia Target entity description: Gens Lutatia was an ancient Roman plebeian family that produced several notable politicians and military leaders during the Republic.
-
A.
Lut
Lut is a prophet in Islamic tradition, known for being sent to the people of Sodom and Gomorrah and warning them against their immoral behavior.
-
B.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
C.
Lugana
Lugana is an Italian white wine appellation near Lake Garda, renowned for its fresh, mineral-driven wines primarily made from the Turbiana grape.
-
D.
Nagara Latina
Nagara Latina is a subtype of North Indian Hindu temple architecture characterized by its curvilinear tower (shikhara) rising directly above the sanctum.
-
E.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96908d88190a1d12517f6d1aece |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0483cdd048190904260c44a5810cf |
completed | April 3, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_69d049f8cd8c819098bf63cfbe7bcc1c |
completed | April 3, 2026, 11:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d04a58f6288190931a7e4ab3d8ec02 |
completed | April 3, 2026, 11:16 p.m. |
Created at: March 30, 2026, 7:20 p.m.