Triple
T786714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Child |
E16818
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Julia
Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
|
E92860
|
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: Julia | Statement: [Julia Child, givenName, Julia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Context triple: [Julia Child, givenName, Julia]
-
A.
Julia
Julia is a high-level, high-performance programming language designed for numerical computing, data science, and scientific research, combining the ease of dynamic languages with the speed of compiled languages.
-
B.
Ada (programming language)
Ada is a statically typed, high-level programming language designed with strong support for reliability, safety, and real-time systems, widely used in mission-critical and embedded applications such as aerospace and defense.
-
C.
Elm
Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
-
D.
Elm
Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
-
E.
Wolfram
Wolfram is a masculine given name of Germanic origin, historically borne by several notable figures including military leaders and scholars.
- 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: Julia Triple: [Julia Child, givenName, Julia]
Generated description
Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julia Target entity description: Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
-
A.
Julia
Julia is a high-level, high-performance programming language designed for numerical computing, data science, and scientific research, combining the ease of dynamic languages with the speed of compiled languages.
-
B.
Ada (programming language)
Ada is a statically typed, high-level programming language designed with strong support for reliability, safety, and real-time systems, widely used in mission-critical and embedded applications such as aerospace and defense.
-
C.
Elm
Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
-
D.
Elm
Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
-
E.
Wolfram
Wolfram is a masculine given name of Germanic origin, historically borne by several notable figures including military leaders and scholars.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6733e47148190bad0ac71cf45dd85 |
completed | March 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69a673afbd308190863aea2ff0f650cb |
completed | March 3, 2026, 5:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a6743f50d0819089885836b9668466 |
completed | March 3, 2026, 5:40 a.m. |
Created at: March 1, 2026, 7:38 p.m.