Triple
T18078905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pablo Batalla |
E432632
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Batalla
Batalla is a Spanish-language surname borne by various individuals, including the Argentine footballer Pablo Batalla.
|
E1303515
|
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: Batalla | Statement: [Pablo Batalla, familyName, Batalla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batalla Context triple: [Pablo Batalla, familyName, Batalla]
-
A.
Batalha
Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
-
B.
Bitwa
"Bitwa" is a notable painting by 19th-century Polish Romantic artist Artur Grottger, known for its dramatic depiction of historical and patriotic themes.
-
C.
Batalden
Batalden is a small island in Vestland county, Norway, known for its coastal scenery and traditional fishing community.
-
D.
Battleground
"Battleground" is a World War II drama film written by Paul Vogel that follows a besieged American infantry unit during the Battle of the Bulge.
-
E.
Battles
Battles is an American experimental rock band known for its complex, rhythmically intricate compositions and innovative use of looping and electronics.
- 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: Batalla Triple: [Pablo Batalla, familyName, Batalla]
Generated description
Batalla is a Spanish-language surname borne by various individuals, including the Argentine footballer Pablo Batalla.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Batalla Target entity description: Batalla is a Spanish-language surname borne by various individuals, including the Argentine footballer Pablo Batalla.
-
A.
Batalha
Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
-
B.
Bitwa
"Bitwa" is a notable painting by 19th-century Polish Romantic artist Artur Grottger, known for its dramatic depiction of historical and patriotic themes.
-
C.
Batalden
Batalden is a small island in Vestland county, Norway, known for its coastal scenery and traditional fishing community.
-
D.
Battleground
"Battleground" is a World War II drama film written by Paul Vogel that follows a besieged American infantry unit during the Battle of the Bulge.
-
E.
Battles
Battles is an American experimental rock band known for its complex, rhythmically intricate compositions and innovative use of looping and electronics.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9f6a85481909894c39c8be98d5d |
completed | April 19, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03567c2ad4819093ae01a4faff71a4 |
completed | May 12, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_6a035755e4008190ac7bb3a958ff3776 |
completed | May 12, 2026, 4:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0357ce74088190a6a343cb0c76dce4 |
completed | May 12, 2026, 4:39 p.m. |
Created at: April 10, 2026, 10:27 a.m.