Triple
T20157291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claudine Longet |
E491605
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Longet
Longet is a French surname most notably associated with Claudine Longet, a French-American singer, actress, and dancer active in the 1960s and 1970s.
|
E1414868
|
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: Longet | Statement: [Claudine Longet, familyName, Longet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longet Context triple: [Claudine Longet, familyName, Longet]
-
A.
Longu
Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
-
B.
Lungro
Lungro is a town in southern Italy known as a principal center of the Italo-Albanian Catholic Church and its Arbëreshë (Albanian) cultural heritage.
-
C.
Lont
Lont is the ISO 15924 four-letter code assigned to the Lontara script used for writing several languages of Sulawesi, Indonesia.
-
D.
Longido
Longido is a town in northern Tanzania that serves as a local center near Mount Longido and the Kenyan border within the Arusha Region.
-
E.
Langtad
Langtad is a barangay (village-level administrative division) of the municipality of Argao in the province of Cebu, Philippines.
- 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: Longet Triple: [Claudine Longet, familyName, Longet]
Generated description
Longet is a French surname most notably associated with Claudine Longet, a French-American singer, actress, and dancer active in the 1960s and 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Longet Target entity description: Longet is a French surname most notably associated with Claudine Longet, a French-American singer, actress, and dancer active in the 1960s and 1970s.
-
A.
Longu
Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
-
B.
Lungro
Lungro is a town in southern Italy known as a principal center of the Italo-Albanian Catholic Church and its Arbëreshë (Albanian) cultural heritage.
-
C.
Lont
Lont is the ISO 15924 four-letter code assigned to the Lontara script used for writing several languages of Sulawesi, Indonesia.
-
D.
Longido
Longido is a town in northern Tanzania that serves as a local center near Mount Longido and the Kenyan border within the Arusha Region.
-
E.
Langtad
Langtad is a barangay (village-level administrative division) of the municipality of Argao in the province of Cebu, Philippines.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e18a0c8190a2cc2b305da28047 |
completed | April 20, 2026, 5:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083476e2d08190807674e3f61382bc |
completed | May 16, 2026, 9:10 a.m. |
| NEDg | Description generation | batch_6a08351511888190a144ff037abdddfb |
completed | May 16, 2026, 9:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0835e4248c8190817907ca46cd5cff |
completed | May 16, 2026, 9:16 a.m. |
Created at: April 11, 2026, 11:34 p.m.