Triple
T22473079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lex Barker |
E555554
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Irene Labhart
Irene Labhart was the wife of American actor Lex Barker, known for his roles as Tarzan and in European adventure films.
|
E1543850
|
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: Irene Labhart | Statement: [Lex Barker, spouse, Irene Labhart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irene Labhart Context triple: [Lex Barker, spouse, Irene Labhart]
-
A.
Elisabeth Vietz
Elisabeth Vietz is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
-
B.
Elisabeth Vietz
Elisabeth Vietz was the mother of Austrian composer Franz Schubert, playing a formative role in his early family life and upbringing.
-
C.
Irene Ludwig
Irene Ludwig was a prominent German art collector and philanthropist who, together with her husband Peter Ludwig, amassed and donated major modern art collections that significantly shaped museums such as Museum Ludwig in Cologne.
-
D.
Renée Hartmann
Renée Hartmann was the wife of Venezuelan statesman and former president Rómulo Betancourt.
-
E.
Marlene Knaus
Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
- 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: Irene Labhart Triple: [Lex Barker, spouse, Irene Labhart]
Generated description
Irene Labhart was the wife of American actor Lex Barker, known for his roles as Tarzan and in European adventure films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Irene Labhart Target entity description: Irene Labhart was the wife of American actor Lex Barker, known for his roles as Tarzan and in European adventure films.
-
A.
Elisabeth Vietz
Elisabeth Vietz is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
-
B.
Elisabeth Vietz
Elisabeth Vietz was the mother of Austrian composer Franz Schubert, playing a formative role in his early family life and upbringing.
-
C.
Irene Ludwig
Irene Ludwig was a prominent German art collector and philanthropist who, together with her husband Peter Ludwig, amassed and donated major modern art collections that significantly shaped museums such as Museum Ludwig in Cologne.
-
D.
Renée Hartmann
Renée Hartmann was the wife of Venezuelan statesman and former president Rómulo Betancourt.
-
E.
Marlene Knaus
Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2034c81909d1263f2ed114b46 |
completed | April 29, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d562cec8190bf43b06d78025e21 |
completed | May 18, 2026, 3:16 p.m. |
| NEDg | Description generation | batch_6a0b3645f5a881908b322d16c7704e27 |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b3769c36081909ff732275513bb2b |
completed | May 18, 2026, 3:59 p.m. |
Created at: April 16, 2026, 8:49 p.m.