Triple
T11408980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teodoro |
E270315
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object |
Theodoro
Theodoro is a masculine given name, commonly used in various cultures as a variant of Theodore, meaning “gift of God.”
|
E925249
|
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: Theodoro | Statement: [Teodoro, hasVariantForm, Theodoro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theodoro Context triple: [Teodoro, hasVariantForm, Theodoro]
-
A.
Leodore
Leodore is the first name of Mayor Lionheart, the lion politician who serves as the mayor of Zootopia in Disney's animated film "Zootopia."
-
B.
Teobaldo
Teobaldo is the Italian form of the given name Theobald, historically borne by various European nobles and clerics.
-
C.
Timoteo
Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
-
D.
Christophorus
Christophorus is the Latin form of the name Christopher, traditionally associated with the Christian saint venerated as the patron of travelers.
-
E.
Dionisio
Dionisio is a masculine given name of Greek origin, derived from Dionysius and associated with the ancient Greek god Dionysus.
- 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: Theodoro Triple: [Teodoro, hasVariantForm, Theodoro]
Generated description
Theodoro is a masculine given name, commonly used in various cultures as a variant of Theodore, meaning “gift of God.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Theodoro Target entity description: Theodoro is a masculine given name, commonly used in various cultures as a variant of Theodore, meaning “gift of God.”
-
A.
Leodore
Leodore is the first name of Mayor Lionheart, the lion politician who serves as the mayor of Zootopia in Disney's animated film "Zootopia."
-
B.
Teobaldo
Teobaldo is the Italian form of the given name Theobald, historically borne by various European nobles and clerics.
-
C.
Timoteo
Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
-
D.
Christophorus
Christophorus is the Latin form of the name Christopher, traditionally associated with the Christian saint venerated as the patron of travelers.
-
E.
Dionisio
Dionisio is a masculine given name of Greek origin, derived from Dionysius and associated with the ancient Greek god Dionysus.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014e72748190a01bde2f0105cedb |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b845ed488190b7680ddf09177ea0 |
completed | April 20, 2026, 5:23 a.m. |
| NEDg | Description generation | batch_69e5c289b5ac81909bdaec61a66f6654 |
completed | April 20, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5c43f4b4c8190aeae600364d2e4ac |
completed | April 20, 2026, 6:14 a.m. |
Created at: April 8, 2026, 9:34 p.m.