Triple
T23455414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Goldani Telles |
E567908
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Telles
Telles is the surname of American actress and ballet dancer Julia Goldani Telles, known for her roles in television and film.
|
E1585149
|
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: Telles | Statement: [Julia Goldani Telles, familyName, Telles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telles Context triple: [Julia Goldani Telles, familyName, Telles]
-
A.
Telti
Telti is a small town and comune in the Gallura region of northeastern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
-
B.
Telnaes
Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
-
C.
Telu
Telu is the ISO 15924 four-letter code that represents the Telugu script used for writing the Telugu language and several other South Asian languages.
-
D.
Toles
Toles is the surname of American political cartoonist Tom Toles, known for his sharp, liberal-leaning editorial cartoons.
-
E.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
- 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: Telles Triple: [Julia Goldani Telles, familyName, Telles]
Generated description
Telles is the surname of American actress and ballet dancer Julia Goldani Telles, known for her roles in television and film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Telles Target entity description: Telles is the surname of American actress and ballet dancer Julia Goldani Telles, known for her roles in television and film.
-
A.
Telti
Telti is a small town and comune in the Gallura region of northeastern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
-
B.
Telnaes
Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
-
C.
Telu
Telu is the ISO 15924 four-letter code that represents the Telugu script used for writing the Telugu language and several other South Asian languages.
-
D.
Toles
Toles is the surname of American political cartoonist Tom Toles, known for his sharp, liberal-leaning editorial cartoons.
-
E.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
- 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a696e6c48190a7159292cfe3362f |
completed | April 29, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67c0c2d081909da467271800b69d |
completed | May 19, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a0c7218a358819082d8b19b57b61013 |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c76f0f4bc81909912d2196e969cf1 |
completed | May 19, 2026, 2:42 p.m. |
Created at: April 17, 2026, 5:53 p.m.