Triple
T12313822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San-São |
E293547
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
San-Sao
San-Sao is an entity known primarily by the name “San-São,” with limited publicly available distinguishing information.
|
E976503
|
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: San-Sao | Statement: [San-São, alsoKnownAs, San-Sao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San-Sao Context triple: [San-São, alsoKnownAs, San-Sao]
-
A.
Sui-San
Sui-San is a member of the Eternals in Marvel Comics, best known as the mother of the cosmic supervillain Thanos.
-
B.
Sanchica
Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
-
C.
Sanz
Sanz is a prominent Hasidic dynasty known for its strong emphasis on Torah scholarship, strict halachic observance, and influential rabbinic leadership originating in 19th-century Galicia.
-
D.
Sairan
Sairan is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
-
E.
An Suca
An Suca is the Irish-language name for the River Suck, a major tributary of the River Shannon in western Ireland.
- 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: San-Sao Triple: [San-São, alsoKnownAs, San-Sao]
Generated description
San-Sao is an entity known primarily by the name “San-São,” with limited publicly available distinguishing information.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San-Sao Target entity description: San-Sao is an entity known primarily by the name “San-São,” with limited publicly available distinguishing information.
-
A.
Sui-San
Sui-San is a member of the Eternals in Marvel Comics, best known as the mother of the cosmic supervillain Thanos.
-
B.
Sanchica
Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
-
C.
Sanz
Sanz is a prominent Hasidic dynasty known for its strong emphasis on Torah scholarship, strict halachic observance, and influential rabbinic leadership originating in 19th-century Galicia.
-
D.
Sairan
Sairan is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
-
E.
An Suca
An Suca is the Irish-language name for the River Suck, a major tributary of the River Shannon in western Ireland.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f03d3c88190baedffb83465bff8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e86d45881909a9a3c09df0b78f1 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f622a646c481908164ae5387625bb4 |
completed | May 2, 2026, 4:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f623f5aa608190bce3e62e08077216 |
completed | May 2, 2026, 4:19 p.m. |
Created at: April 8, 2026, 9:53 p.m.