Triple
T13083517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etheline Tenenbaum |
E310270
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Etheline
Etheline is a fictional character from Wes Anderson's film "The Royal Tenenbaums," known as the intelligent and composed matriarch of the eccentric Tenenbaum family.
|
E1019713
|
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: Etheline | Statement: [Etheline Tenenbaum, givenName, Etheline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etheline Context triple: [Etheline Tenenbaum, givenName, Etheline]
-
A.
Angeline
Angeline is the given name of American actress Angie Dickinson, known for her roles in film and television from the 1950s onward.
-
B.
Marcheline
Marcheline is the affectionate nickname of Marcheline Bertrand, an American actress and humanitarian best known as the mother of Angelina Jolie.
-
C.
Bauline
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
-
D.
Trevalyn
Trevalyn is a small village in Wrexham County Borough, Wales, known for its historic hall and rural surroundings near Rossett.
-
E.
Celine
Celine is a French luxury fashion house known for its minimalist, modern designs in ready-to-wear, leather goods, and accessories.
- 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: Etheline Triple: [Etheline Tenenbaum, givenName, Etheline]
Generated description
Etheline is a fictional character from Wes Anderson's film "The Royal Tenenbaums," known as the intelligent and composed matriarch of the eccentric Tenenbaum family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Etheline Target entity description: Etheline is a fictional character from Wes Anderson's film "The Royal Tenenbaums," known as the intelligent and composed matriarch of the eccentric Tenenbaum family.
-
A.
Angeline
Angeline is the given name of American actress Angie Dickinson, known for her roles in film and television from the 1950s onward.
-
B.
Marcheline
Marcheline is the affectionate nickname of Marcheline Bertrand, an American actress and humanitarian best known as the mother of Angelina Jolie.
-
C.
Bauline
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
-
D.
Trevalyn
Trevalyn is a small village in Wrexham County Borough, Wales, known for its historic hall and rural surroundings near Rossett.
-
E.
Celine
Celine is a French luxury fashion house known for its minimalist, modern designs in ready-to-wear, leather goods, and accessories.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9811add9881908a92186dab5b6d48 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60e7b48819087e4583a5736c1df |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d76cc33c8190ac8113094bcf868b |
completed | May 3, 2026, 5:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d8013e9481908f5edcce7247212d |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 9, 2026, 9:02 p.m.